Researchers from Rice University unveiled a new multi-antenna technology that could help wireless providers keep pace with the voracious demands of data-hungry smartphones and tablets. The technology aims to dramatically increase network capacity by allowing cell towers to simultaneously beam signals to more than a dozen customers on the same frequency.
With drive navigation nearing maturity, companies are scrambling to develop new offerings. Nokia and others are quickly building indoor mapping arsenals. We are edging closer to the LBS vision that early on defined the market: walk by a Starbucks and get a mobile coupon for a cuppa Joe. Qualcomm’s new Gimbal platform will not only speed the production of more sophisticated personalized apps, but will enable advertising that fits the immediate interests of the end user. Google wants to protect mobile advertising streams and has instituted rules to keep it consumer friendly.
Google announced on its official blog that it has released more than twenty popular U.S. museums to its collection of over 10,000 indoor maps that they launched in November.
Skyhook, a location information, context and intelligence company, has announced that two new Kindle Fire apps have integrated Skyhook to provide location services on this device. The applications include Happy Hour Finder and Scope. They join a list of other apps using Skyhook for location services on the Kindle Fire, including MapQuest, KAYAK, deCarta, and TweetCaster.
Flurry has announced Flurry Ad Analytics, an analytics-powered service for mobile app marketers to measure the effectiveness of traffic acquisition campaigns across ad networks. The service enables app marketers to track the quality, follow-on behavior, and return on investment of traffic sourced from campaigns across major mobile ad networks including Apple iAd, Google Admob, Millenial Media, InMobi, Jumptap, and Flurry AppCircle.
GNSS positioning in dense urban areas is unreliable, with accuracy particularly poor in the cross-street direction. One solution is shadow matching, a new positioning technique that uses 3D building models to predict which satellites are visible from different locations and compares this with the measured satellite visibility to determine position. This article presents test results of a preliminary shadow-matching algorithm in a London urban canyon and discusses the practical implementation of the technique.
In the next two to four years, mobile device location platforms will be able to provide positioning performance that enables emergency call (E911) and location-based services (LBS) with excellent accuracy (5–10 meters) in all locations. We call this accurate everywhere location, and it will be a significant enabler of indoor navigation applications and for even wider adoption of consumer LBS.
In fact, we may eventually forget how we ever lived without it. This technology can enhance our lives by enabling our mobile devices to know precisely where we are at all times. Armed with this information, our devices can behave in a way that suits our specific situation, and they can do this without us having to do anything other than keep the phone with us.
A pocket tracker for elderly people and Alzheimer’s patients consists of a smartphone using GNSS, WLAN, RFID, and GSM for basic positioning, communication channels, and an accelerometer triad for collapse and motion detection. It seeks to determine not only the quantitative where but the qualitative how: has the user lost balance, fallen, or ceased moving?
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