Dutch textile company ByBorre and its founder, fashion designer Borre Akkersdijk, have created the BB.suit — a wearable Wi-Fi hotspot with GPS, a music library, and an air purifier.
Version 1.0 of the suit, which has electrical threads woven into the fabric, was showcased at the SXSW music and film tradeshow in March, where a model’s location was shown on Google Maps, allowing anyone to locate the suit using its GPS data, and then upload songs to a 22Tracks platform.
Version 2.0 introduces an additional tech — an air purification system. Demonstrated at Beijing Design Week in September, the garment purifies the polluted air surrounding the wearer. According to Dezeen, designers Akkersdijk and Eva de Laat collaborated with Martijn ten Bhomer from the Eindhoven University of Technology, Daan Spangenberg Graphics, and StudioFriso to create the one-piece suit, which looks like an adult onesie.
“The BB.Suit started because everyone was talking about wearable technology, the bracelets, the glasses,” Akkersdijk told Dezeen. “We thought about how we could really integrate the electrical threads and sensors and not just stick them on.”
The electrical yarns are woven into the body and legs of the outfit, while the long sleeves and a hood are made from standard textiles. The air-quality sensor at chest level is connected to a hidden platform chip that tracks and transmits data counting the particles of carbon monoxide, methane and dust around the body. The chip is wired to a battery and a cold plasma node on the back of the suit.
You won’t be able to outfit yourself with the garment yet, as it was created as a step towards a connected wearable platform rather than a product to be marketed.
GPS World’s December cover story, “The Fashion Demands of Always-On,” discusses the chip architecture requirements of wearables. Read it here.
Ultra-Low-Power, High-Accuracy Location for Wearable GNSS Devices: From Host-Based to On-Chip
Photo: Steve Malkos, Manuel del Castillo, and Steve Mole, Broadcom Inc., GNSS Business Unit
As location penetrates smaller and smaller devices that lack memory and computation power, GNSS chips must reacquire the standalone capability that they shed when first going to small form factors such as phones. A new chip with a new architecture demonstrates navigation and tracking and avoids burdening its main processor with heavy software.
By Steve Malkos, Manuel del Castillo, and Steve Mole, Broadcom Inc., GNSS Business Unit
End users first experienced the amazing capabilities of GPS 12 years ago with early mass-market GPS devices. The focus was on navigation applications with specific tracking devices like personal navigation devices and personal digital assistants (PNDs, PDAs). With the advent of smartphones, GPS became a must-have feature. Other constellations were added to improve performance: GLONASS, QZSS, SBAS, and very recently, BeiDou. In the current phase, the focus is shifting to fitness applications and background location. This is not an insignificant change.
Always-on connected applications, high-resolution displays, and other such features do not improve battery life. This article describes new ultra-low-power, high-accuracy location solutions for wearables’ power consumption.
Impact of Always-On Connected Applications
New applications require frequent GNSS updates with regard to user position. Sometimes the application will be open and other times it will not. The chips need to keep working in the background, buffering information and taking predefined actions. The GNSS chips need to be able to cope with these new requirements in a smart way, so that battery life is not impacted. Saving power is now the name of the game.
Furthermore, GNSS is penetrating small devices: the Internet of Things (IoT) and wearables. They do not have the luxury of large resources (memory, computation power) as smartphones do. GNSS chips cannot leverage the resources in those devices; they need to be as standalone as possible. In summary, the new scenario demands chips that:
do not load device’s main processor with heavy software;
use less power while maintaining accuracy;
can be flexibly configured for non-navigation applications.
New GNSS Chip Architectures
The industry is designing chips to meet these requirements by including the following features:
measurement engine (ME) and positioning engine (PE) hosted on the chip;
accelerometer and other sensors directly managed by the chip;
new flexible configurations, duty cycling intervals, GNSS measurement intervals, batching, and so on.
These features require hardware and software architectural changes. The new chips need more RAM than that required for smartphones, as they must now host the ME and PE. Wearables and IoT devices are small, cheap, and power-efficient. They do not have large processors and spare memory to run large software drivers for the GNSS chip. In many cases, the device’s microcontroller unit (MCU) is designed to go into sleep mode if not required, that is, during background applications. Therefore, new GNSS chips with more RAM are much better adapted to this new scenario.
New chips must tightly integrate with sensors. The accelerometer provides extremely valuable information for the position update. It can detect motion, steps, motion patterns, gestures, and more. However, as a general rule, the MCU’s involvement in positioning should be minimized to reduce power consumption. For power efficiency, the new GNSS chips must interface directly with the sensors and host the sensor drivers and the sensor software.
Finally, new chips must adapt to different human activities as they are integrated into wearable devices. This is the opposite approach from past developments where GNSS development was focused on one use case: car navigation. Now they must adapt to walking, running, cycling, trekking, swimming, and so on. All these activities have their particularities that can determine different modes in which new GNSS chips can work. Electronics must now conform to humans instead of the other way around. New wearable-chip GNSS tracking strategies include dynamic duty cycling and buffering, which contribute to the goal of reducing power consumption without compromising accuracy.
Satellite positioning embedded in devices over the last few years first saw on-chip positioning before the era of smartphones, where you had dedicated SoCs that supported the silicon used to compute the GNSS fix. These expensive chips had lots of processing power and lots of memory. Once GNSS started to be integrated into cellphones, these expensive chips did not make sense. GNSS processing could be offloaded from the expensive SoCs, and part of the GNSS processing was moved onto the smartphone application processor directly.
Since navigation is a foreground type of application, the host-based model was, and is still, a very good fit. But with advances in wearable devices, on-chip positioning will become the new architecture. This is because the host processor is small with very limited resources on wearables; and because energy must be minimized in wearables, reducing the processor involvement when computing GNSS fixes is critical.
Some vendors are taking old stand-alone chips designed for PNDs and repurposing them for wearable devices. This approach is not efficient, as these chips are large, expensive, and use a lot of power.
GNSS Accuracy
While the new fitness and background applications in wearables have forced changes in GNSS chips’ hardware and software architectures, GNSS accuracy cannot be compromised. Customers are used to the accuracy of GNSS; there’s no going backwards in performance in exchange for lower power consumption.
Figure 1. Software architecture for wearables.
A series of tests shown here demonstrate how a new wearable, ultra-low-power GNSS chip produces a comparable GNSS track to existing devices using repurposed full-power sportwatch chips, while using only a fraction of the power.
Speed Accuracy. Not only does the ultra-low-power solution produce a comparable GNSS track, it actually outperforms existing solutions when it comes to speed and distance, thanks to close integration with sensors and dynamic power saving features (Figures 2 and 3).
Figure 2. Ultra-low-power versus full power.Figure 3. Full-power sportwatch, left, and ultra-low power chip, right, in more accuracy testing.
GNSS Reacquisition. GNSS-only wearable devices face a design challenge: to provide complete coverage and to avoid outliers. This is seen most clearly when the user runs or walks under an overpass (Figure 4). Familiar to urban joggers everywhere, the underpass allows the user to cross a busy road without needing to check for traffic, but requires the GNSS to reacquire the signals on the tunnel exit. See the GNSS track in Figure 5: when the device reacquires the signals, the position and speed accuracy suffers.
Figure 4. Position accuracy on reacquisition, emerging from overpass.Figure 5. GNSS speed accuracy on reacquisition.
Using the filtered GNSS and sensors, however (Figure 6), enables smooth tracking of speed and distance through the disturbance.
Figure 6. Sensors provide smooth speed estimate.
Urban Multipath. The pace analysis in Figure 7 shows a user instructed to run at a constant 8-minute/mile pace, stopping to cross the street where necessary. The red line on each plot shows the true pace profile. The commercial GNSS-only sportwatch on top shows frequent multipath artifacts, missing some of the stops and, worse for a runner, incorrectly showing erroneously high pace. The ultra-low-power chip captures all the stops and shows a constant running pace when not stopped.
Figure 7. Urban multipath tests.
It is well known in the community that regular sportwatches give unreliable speed and distance estimates in urban environments — where most organized running races are held! There’s nothing worse, as a runner, than to hear the distance beep from your watch going off earlier than expected: how demoralizing! The major benefit of this solution is that the speed estimate is much more reliable in the presence of multipath. At the same time, battery life can be extended because the GNSS is configured to use significantly less power.
fSpeed in existing solutions is computed in two different ways: indirectly from two consecutive, time-stamped GNSS position estimates, each derived from range measurements to the satellites, and directly from the Doppler frequency offset measurements to the satellites. Both range and frequency measurements are subject to significant error when the direct path to the satellite is blocked and a reflection is acquired.
The effects of multipath mean that the range error may in typical urban environments be hundreds of meters. The frequency error is also a function of the local geometry and is typically constrained by the magnitude of the user’s horizontal speed.
In either case, the GNSS device alone, in the presence of signal multipath, generates a velocity vector that fluctuates significantly, especially when there is a change in the satellites used or signal propagation path between the two consecutive positions. A variety of real-life cases generate this sudden fluctuation in velocity vector:
Running along a street in an urban canyon and turning a 90-degree corner.
Running along a pedestrian lane and taking a short road underpass.
Running under tree cover and suddenly arriving at an open area.
Running under an elevated highway and turning 90 degrees to a wide-open area.
In each case, the chips are using a certain set of satellites, and suddenly other, higher signal-strength satellites become available. A typical situation is for the position to be lagging the true position (while under tree cover, going through an underpass) and needing to catch up with the true position when arriving to the wide-open area. A jump in position is inevitable in that situation. This is not too bad for the GNSS track, but it will mean a noticeable peak in the speed values that is not accurate. Fitness applications save all of the computed speed values and generate a report for each workout. These reports are not accurate, especially the maximum speed values, for the reasons explained above.
Figure 8 describes a typical situation where the actual speed of the runner is approximately constant. GNSS fixes are computed regularly; however, the speed computed from subsequent GNSS fixes have sudden peaks that spoil the workout speed reports.
Figure 8. Sudden peaks spoil workout speed reports.
The new ultra-low-power solutions for wearables solve this problem by deriving speed and accumulated distance from the sensors running in the device. This avoids incorrect speed peaks, while still being responsive to true pace changes by the runner.
In running biomechanics, runners increase pace by increasing step cadence and/or increasing step length. Both methods depend on the runner’s training condition, technique, biomechanics, and so on. As a general rule, both step cadence and step length increase as the running speed increases from a jogging speed to a 1,500-meter race speed.
A runner may use one mechanism more than the other, depending on the moment or on the slope (uphill or downhill). In the case of male runners, the ratio of step length to height at a jogging speed is ~60 percent.The ratio of step length to height in a 1,500 meter race speed is ~100 percent. For female runners, the respective ratios are ~55 percent and ~90 percent.
The ultra-low-power chips take into account both mechanisms to derive the speed values. The sensor algorithms count the number of steps every time interval and translates the number of steps into distance multiplying by the step length. The reaction time of the GNSS chip to speed changes based on a higher cadence is immediate.
Speed changes due to longer steps are also measured by the ultra-low-power chips. The step length is constantly calibrated by the GNSS fixes when the estimated GNSS position error is low. The reaction time of the GNSS chip to speed changes based on longer steps has some delay, as it depends on the estimated error of the GNSS fixes.
Manufacturer
The ultra-low-power, high-accuracy, 40-nanometer single-die BCM4771 chip was designed by Broadcom Corporation. It is now being manufactured in production volumes and is focused on the wearables and IoT markets.It consumes five times less power than conventional GNSS chips (~10 mW) and needs 30 KBytes of memory in the MCU for the software driver. It features tight integration with the accelerometer and innovative GNSS tracking techniques for extremely accurate speed, accumulated distance, and GNSS tracking data.
Steve Malkos is an associate director of program management in the GPS Business Unit at Broadcom, responsible for defining GPS sensor hub and indoor positioning features. He has a B.S. in computer science from Purdue University, and currently holds eight patents,10 more pending, in location.
Manuel del Castillo is an associate director of marketing for Broadcom in the GNSS group. He has an MS in electronic engineering from the Polytechnic Universityand an MBA from the Instituto de Empresa, both in Madrid, Spain. He holds three patents in location with five more pending.
Steve Mole is a manager of software engineering for Broadcom in the GNSS group. He received his bachelor’s degree in physics and astrophysics from the University of Manchester.
Nearly 5 million smart and basic wearable bands shipped in Q3 2014, with total unit shipments increasing 37% quarter on quarter as Android Wear made its mark for the first time, according to a report by independent analyst company Canalys.
Motorola Mobility’s Moto 360 was by far the most successful of the initial Android Wear devices, accounting for more than 15% of the smart band market according to Canalys estimates. Despite being supply-constrained, its appealing design helped it to easily out-ship other Android Wear products.
LG has responded to early interest in the Moto 360 by quickly adopting a circular display with the G Watch R.
Meanwhile, Samsung remained the overall smart band market leader, and the company has already begun to experiment with larger display sizes and cellular connectivity with the Gear S, its sixth smart band.
Though the platform is still young, Android Wear will be fundamental to the development of the market, as it is poised to be one of the two dominant wearable operating systems outside of China, alongside Apple’s Watch OS. But Google will need to redesign the Android Wear user interface before the platform can achieve its true potential.
‘The announcement of the Apple Watch late in the quarter has likely had an effect on sales of existing devices, as some consumers will choose to wait for Apple’s wearable,’ said Canalys Analyst Daniel Matte. ‘The smart band market was flat between Q2 and Q3, but with an installed base of over 1.8 billion Android smart phones, there is a huge potential market of Android users not considering an Apple Watch.”
Fitbit and Jawbone held onto their first and second place positions, respectively, in the basic band market for the quarter, and both have just announced new products. Garmin passed Nike to take third place in shipments, while Xiaomi and Huawei also overtook the one-time market leader and rounded out the top five. “Low-end basic bands providing simple activity tracking functionality are becoming increasingly commoditized, and will flood the market heading into the holidays, especially in China,” said Canalys Analyst Jingwen Wang. ‘To combat this, Fitbit, Jawbone and others have attempted to make basic bands smarter, adding various smart watch features and increasing the sophistication and integration of sensors.’
Google Fit, Microsoft Health and the Samsung Digital Health Platform have all recently been announced in response to Apple’s HealthKit. While the new Microsoft Band does not have strong hardware appeal, Microsoft’s cross-platform cloud services approach is a wise strategy, and the company is importantly staking its relevance early in a new market. There is tremendous opportunity for brand new services on wearable platforms, and not just in the area of health and fitness. Expect developers to eagerly embrace Apple’s WatchKit SDK, expected to be released in early 2015.
Wearable band shipment data is taken from Canalys’ Wearable Technology Analysis service, which provides quarterly market tracking, including country-level estimates. Canalys defines basic wearable bands as devices serving a specific set of purposes that act as accessories to smart devices, are designed to be worn on the body and not carried, and that cannot run third-party computing applications. Smart wearable bands are multi-purpose devices that serve as accessories to smart devices, are designed to be worn on the body and not carried, and are capable of running third-party computing applications. Bands are wearables designed to be wrapped around the body and do not include activity trackers in the form of clips.
The next time I see Paris, I will be swinging down the boulevard in a brand new set of threads. An elegant, location-enabled set of threads that will take me by the sleeve and lead me through the City of Light.
This wearable experiment goes by the name — of course it does — Navigate, a new line of city-specific, location-enhanced apparel. Either plug or Bluetooth the jacket (the press materials are not clear on this point) into your smartphone, download the appropriate city guide with walking tour, and start your adventure. Stash the phone in the pocket of the houndstooth jacket with red felt collar flips, no further need to look at it. Vibrations along left or right arm tell you when to turn; their frequency, intensity, and placement vary to indicate soft turn, merge, or hard turn.
Oh, I love the colorful clothes she wears, and the way the sunlight plays upon her hair . . . I’m pickin’ up good vibrations, oom bop bop, she’s giving me excitations, oom bop bop.
Good, good, good, good vibrations.
“How we can ease the stress of navigating an unfamiliar path without interfering with the experience of discovering a new place?” asks Billie Whitehouse, design director of Wearable Experiments. “No longer do you need to hunch over a map or smartphone. Now you can experience fill-the-blank-here as a traveler rather than a tourist.”
Not interfering with the experience of discovering a new place: that caught my attention. In my misspent youth, I traversed the upper Amazon, the Andean highlands, and the Galapagos Islands unencumbered by a camera. To my lasting regret. I thought the device lifted to my eyes would interfere with my discovery and experience. Now I see my error. Instead of subtracting a layer of technology from my travel trunk, I should have added one. That GPS did not exist at that time, except as a gleam in young Col. Parkinson’s eye, perhaps absolves the fault in this case.
“The skin is a vastly underutilized form of communication,” says Wear:Ex technical director Ben Moir. “Haptic vibrations are built into a full physical language, allowing the technology to communicate critical information. Technology doesn’t need to be invasive or obtrusive. It should be designed with the human at the center.”
From signals in space to the surface of my skin. It doesn’t get much more human-centric than that.
Swiss-based u‑blox has introduced the EVA‑M8M stand-alone positioning module. The EVA-M8M GNSS module brings concurrent multi-GNSS performance into the ultra-compact EVA footprint.
Designed for cost- and space-sensitive applications, the highly integrated 7 x 7 x 1.1 mm LGA module comprises all necessary components, including crystal and passives. EVA-M8M only requires an external antenna to provide an accurate position without the need for host integration. Components have been selected for reliable operation in the field over the full operating temperature range. The module is also compatible with the EVA-7M GPS module, allowing for easy upgrading of existing designs at minimal cost, u-blox said.
The module supports GPS, GLONASS, BeiDou, QZSS, and SBAS augmentation systems. Based on u‑blox M8 performance, the module achieves -164 dBm tracking sensitivity, fast acquisition time and low power consumption. EVA-M8M can track any two GNSS systems simultaneously and output a GNSS position up to 18 Hz.
“The EVA-M8M sets a new industry benchmark for compact, stand-alone global positioning performance. The module has been designed for the absolute lowest eBOM costs and ease-of-manufacturing. It is a perfect solution for cost-sensitive industrial and wearable devices,” said Thomas Nigg, vice president of product strategy at u-blox.
A UART, USB, SPI and I2C interface provide flexible connections to a host processor. EVA-M8M can also communicate directly with u‑blox’ SARA 2G, LISA 3G and TOBY 4G cellular modules to support advanced tracking and location-aware products.
Detailed information about the EVA-M8M can be found on the u-blox website. Samples are available now. For existing designs using a NEO module, the C88-M8M adaptor board can be used for easy evaluation of the EVA-M8M in existing NEO-xM designs.
Rx Networks, Inc., has licensed its GPStream PGPS GNSS assistance technology to Recon Instruments, a Canadian technology company that brings heads-up display products to the consumer market. GPStream PGPS will tightly integrate with the GPS chip inside of Recon’s upcoming Jet smart glasses, an advanced wearable computer planned for the first quarter of 2015.
Through its location and GNSS assistance software and services, Rx Networks empowers fast positioning in more than a billion mobile devices every day, the company said. Its GPStream PGPS solution, licensed and deployed in more than 100 million smartphones and personal navigation devices, accurately predicts the future orbits of satellites for up to two weeks in advance. It then stands by, ready to deliver this assistance data into a GNSS chipset when it powers up. This not only speeds up initial time to first fix (TTFF) from 45 seconds down to less than 3 seconds, it also improves the receiver sensitivity and reduces power consumption. From a user perspective, this translates into longer battery life and faster initialization of apps that depend on location, even in difficult environments.
According to IDC, the wearable devices market is expected to grow from 19.2M units in 2014 to 111.9M units in 2018. Most form factors today rely on the presence of a smartphone as a hub for core functions like Internet access or location. “We are seeing an exciting new trend in the mobile location market,” said Guylain Roy-MacHabée, CEO of Rx Networks Inc. “From smartwatches to smart glasses, we are helping OEMs optimally implement satellite navigation and other means of positioning directly in this new class of smart wearables devices.”
An Indian high-tech start-up is offering a GPS-enabled smart sports shoe that vibrates to give the wearer directions, according to an article in gulfnews.com.
The red sneakers count the number of steps taken, the distance traveled, and calories burned. The shoes go on sale this month under the name LeChal, which means “take me along” in Hindi.
The shoes come with a detachable Bluetooth transceiver that links to a Lechal smartphone app to direct the wearer using Google Maps, sending a vibrating signal to indicate a left or right turn.
They are the brainchild of 30-year-old Krispian Lawrence and Anirudh Sharma, 28, two engineers who founded their tech start-up Ducere in a small apartment in 2011 and now employ 50 people. They say they have 25,000 advance orders for the shoes, which will retail at between $100 and $150.
The Lechal app works with Google Maps. Photo: Lechal
AT&T will be a major participant during CTIA’s Super Mobility Week in Las Vegas next week. Connected car, connected home and wearables will all be on display throughout AT&T’s activities:
The first AT&T Hackathon to take place at CTIA will give developers access to new APIs for the car and home.
A 60-foot x 40-foot booth showcasing the latest Connected Life products.
AT&T is kicking off the week’s events with its very first CTIA Hackathon, Code for Car and the Home, which will match developers with companies, tools and services to innovate in the connected car and automated home marketplace. Developers will turn ideas into apps using APIs and other technology resources from 30-plus industry sponsors. More than 300 developers are expected to compete in the two-day Hackathon which begins at 10 a.m. PT on Saturday, September 6, in the Chelsea Theater at the Cosmopolitan Hotel. More than $100,000 in cash and prizes are available.
Connected Life Booth
When the Super Mobility Week show floor opens at 11 a.m. PT on Tuesday, September 9, AT&T will showcase the latest in wearables, connected cars and homes. Volvo and Audi will demo their connected car experiences and a simulator will be on-site to showcase AT&T Drive, the company’s connected car platform. AT&T Drive is a modular, global solution that allows automakers to pick and choose what services and capabilities are important to them in order to differentiate their solutions in the marketplace.
Attendees can also explore how to stay connected to the home by visiting the AT&T Digital Life station. Digital Life is an all-digital, all-wireless automation and home security platform that equips customers with control of their homes from virtually anywhere. On-site activations will include demos such as augmented reality so visitors can learn about the Digital Life service and products, an interactive wall to experience the simple, easy to use Digital Life app and a hologram home to showcase how Digital Life integrates everything you need in one place, to help make your life safer and easier, and provide you with more freedom to live your life.
AT&T is the leader in emerging devices and will showcase the latest wearables from Fitbit, Jawbone, LG, Martian and Pebble. Additionally, Timex, the first authentic watch brand to enter the smartwatch space, will be on-site showcasing the new Timex Ironman One GPS+. The new smartwatch is the first GPS-connected fitness watch to connect to the mobile internet wirelessly, transmitting performance data, location, messages and more.
Also on display will be the AT&T EverThere and FiLIP safety devices. AT&T EverThere is a small wearable device that can detect falls and quickly identify location, automatically connecting the user to a 24/7 call center for response and support. FiLIP is a smart locater for kids that keeps parents and kids in touch at the push of a button.
The booth, number 4423, will be in the Connected Life section of the show floor at the Sands Expo and Convention Center. Visitors can locate the booth by using the interactive floor plan.
Connected Car Keynote
On Wednesday, Sept.10, Ralph de la Vega, president and CEO, AT&T Mobile and Business Solutions and Glenn Lurie, president and CEO, AT&T Mobility, will wrap up the show when they take the stage to discuss the Future of Connected Car.
The following guest panelists will join them on stage to discuss this rapidly growing landscape:
Mary Chan, President, Global Connected Consumer, General Motors
Arun Bhikshesvaran, CMO, Ericsson
Mike Kennewick, Co-Founder and CEO, VoiceBox
Diarmuid O’Connell, VP, Business Development, Tesla Motors
CSR plc and OriginGPS have announced a series of high- performance GNSS modules using CSR’s SiRFstarIV and SiRFstarV product lines.
The new modules are 70% smaller than current solutions and deliver a 30% reduction in Time To First Fix (TTFF), making them ideal for health and fitness trackers, sports watches, medical devices, wearable action cameras, and digital still cameras. All modules, including the newly released 7 x 7 millimeter Multi Spider (ORG4572) solution, integrate the LNA, SAW filter, TCXO, RTC crystal and RF shield.
“To accelerate market adoption of location technologies in wearable devices and cameras, manufacturers must minimize the embedded GNSS module size without compromising on performance, sensitivity, or power consumption,” said Anthony Murray, senior VP, Business Group at CSR. “By leveraging CSR’s industry-leading GNSS solutions and collaborating with OriginGPS on module development, we have achieved this objective.”
The OriginGPS modules offer high sensitivity resulting in shorter autonomous and aided TTFF, better navigation stability, and higher accuracy in harsh environmental conditions. In real-life testing of the module in camera applications, TTFF performance improves by over 30 percent compared to other solutions. The module also delivers TTFF results in less than one minute over 90% of the time (cold starts).
In addition to its small footprint, the GNSS module’s ultra-fast geotagging capability dramatically improves the consumer experience. The GNSS antenna module’s outstanding sensitivity and OriginGPS’ proprietary Noise Free Zone (NFZ) technology for faster position fix and navigation stability provides geo-tagging availability even under challenging satellite signal conditions such as low signal areas, under dense foliage, in urban canyons, and during motion-based activities. Battery life is considerably extended as a result of CSR’s breakthrough low power Push-to-Fix (PtF) technology, which rapidly establishes a valid position fix enabling the module to hibernate for longer periods of time. Push-to-Fix is an intelligent periodic low power mode that adaptively changes power depending on the operating environment and motion conditions. Advanced algorithms and a powerful on-chip DSP processor maintain high accuracy (QoS) while achieving the lowest power level possible for the given environmental and motion conditions.
“As the wearable technology and action camera markets continue to grow, we must ensure that our solution meets the market’s need for high performance and small form factor GNSS modules,” says Gal Jacobi, CEO of OriginGPS. “It is our privilege to partner with CSR and its excellent engineering team to meet the market’s need. CSR’s leading multifunction semiconductor platforms and OriginGPS’ miniaturized high performance modules create a unique value proposition for customers in these markets.”
OriginGPS modules are currently in mass production, and additional information can be found at www.origingps.com.
Telit Wireless Solutions and Parsec Technologies today announced that a combination of the companies’ technologies results in a low profile companion solution for GPS receiver and antenna. For host devices able to accommodate higher volumetric symmetry, assembly of the components can be made to fit a 6 x 16 x 8 millimeter volume. A flat component arrangement can yield an ultra-low-profile volume of 6 x 16 x 2.4 millimeters.
“Receivers combining the Parsec PTA/PT Family and Telit’s Jupiter SE880 modules deliver good user experience in finished LBS (location-based services) critical products without sacrificing design flexibility, ease of implementation or cost,” said Michael A. Neenan, CEO and founder of Parsec Technologies, Inc. “The combination is ‘bullet-proof’ in providing a rewarding design experience making RF work reliably, passing end-product regulatory compliance testing without re-test.”
“Miniaturization is a major enabler of new application areas for positioning and M2M,” said Taneli Tuurnala, Vice President and Head of GNSS Division of Telit Wireless Solutions. “With the Parsec antennas, the complete receiver features the industry’s ‘smallest landed footprint,’ making it suitable for use in wearable electronics, UBI devices or adapters for the mobile computing industry.”
Along with miniaturization, the receiver outperforms top traditional designs, handling a loss of 10 dB or greater in GPS signal reaching, for example, the typical OBD port under a vehicle’s dashboard where many usage-based insurance (UBI) dataloggers are installed. The PTA1.5M active antenna delivers the ultra-sensitive Jupiter SE880 micro receiver over 15 dB of additional gain in the operating frequency range. Both companies are making available complete application notes to simplify the engineering effort for system integrators.
The miniature 4.7 x 4.7 millimeter LGA (Land Grid Array), SiRFstarIV-based Jupiter SE880 receiver module employs heterogeneous 3D integrated technology to achieve best-in-class performance in all dimensions critical for regular or size-constrained GPS applications. Its RF front-end employs spatially calibrated waveguide-quality radio paths inside the three-dimensional space of its architecture, reducing parasitic impedances characteristic of traditional 2-D RF designs. Inside, a multi-filter system includes not only the traditional SAW filters typical in GPS receiver designs but also a 2.4-GHz notch-filter capable of nullifying the jamming effects of high-energy radio devices such as Wi-Fi hot-spots, Bluetooth systems, cordless phones, and others, which greatly affect a GPS receiver’s ability to resolve timid satellite signals in the hostile radio environment where they need to operate.
The PTA1.5M, with a gain of 15dB, and PTA1.5x2M, with a gain of 30dB, are tiny GNSS active antenna modules capable of receiving signals down to -192 dBm with frequency centered at 1575.42 (±1.023) MHz. Either model delivers a radiated efficiency greater than 60% when mated to the Jupiter SE880 receiver. Parsec’s PT1233D LNA also has the highest available IP3 at low voltage, helping eliminate interference. Both PTA1.5M and PTA1.5x2M can incorporate the antenna element, an optional SAW filter, the cascadable PT1233D LNA, matching and passives components, on a low cost, easy to integrate 10×16 mm single sided PCBA with “back side” copper clad ground plane. The height of the PTA1.5M and PTA1.5x2M modules vary according to application, allowing their use in even the smallest form factors including Intel’s M.2 Next Generation Form Factor (NGFF) module (23x30x2.4 mm, LxWxH).
Sales of smart glasses, smart watches and wearable fitness trackers reached 8.3 million units worldwide in 2012, up from 3.1 million devices in the previous year, according to researchers at Berg Insight. Growing at a compound annual growth rate of 50.6 percent, total shipments of wearable technology devices are expected to reach 64.0 million units in 2017.
According to the announcement, today wearable fitness and activity trackers constitute the vast majority of the shipments. By the end of the forecast period, smart watches are predicted to incorporate much of the functionality of these and will then be the largest wearable device segment. “A perfect storm of innovation within low power wireless connectivity, sensor technology, big data, cloud services, voice user interfaces and mobile computing power is coming together and paves the way for connected wearable technology,” said Johan Svanberg, senior analyst, Berg Insight.
The first generation of products appeal to specific markets and certain use cases, but refinement in design, technology and connectivity will broaden application areas and speed up market adoption. Initially, the wrist is the most attractive location for wearable devices, which is shown by the success of the Pebble smart watch and the popularity of wristband activity trackers such as the Nike Fuelband and the Fitbit Flex.
“However, today’s devices need to evolve into something more than single purpose fitness trackers or external smartphone notification centers in order to be truly successful,” continues Svanberg.
Berg Insight predicts that wearable technology will shift from being smartphone accessories into becoming proper stand-alone computing devices. Furthermore, closeness to the body and always aware capabilities will enable them to be more than merely miniaturized smartphones. Google, Sony and Samsung have already launched products and other major players such as Apple and LG are expected to soon enter the market. Wide market availability of wearable devices also raises privacy concerns. “It is still uncertain where lines should be drawn, but as in the case with most new technology, individual users and solution providers have the responsibility not to misuse the capabilities enabled by wearable tech,” concludes Svanberg.
TomTom and Nike have unveiled a new range of the Nike+ Sportwatch, coinciding with the launch of a brand new Nike+ website. The range includes several editions and color combinations, and introduces a starter product for those new to running. Whether they own an original or new edition, all Nike+ Sportwatch users can now access Nike’s intelligent measure of athletic ability, Nikefuel. This converts a runner’s mileage into universal units that measure movements in a wide variety of different sports. As a result, it’s easy for people to compare their performance against that of athletes in other sports, and share their achievements with friends, the companies said. ”Our extended range of products will be very useful to those adding running into their exercise regime. And the new NikeFuel measurement brings added motivation, allowing people to share and compare their performance with friends in other sports,” says Corinne Vigreux, managing director, TomTom. The new Nike+ Sportwatch colors have been chosen to match Nike’s apparel and shoe ranges. They include black/anthracite, anthracite/blue glow, and high-impact volt green. The anthracite/blue glow edition is available as a starter product, priced at €149.
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