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Bluetooth Innovation World Cup 2010 Winners

08 | 02 | 2011 | Category: Navispace

In Munich, Germany, on 7 February 2011, the Bluetooth SIG announced the overall winner of its Bluetooth Innovation World Cup 2010 competition.

The Pervasive Computing Group at the Imperial College in London beat out 270 other entries from all over the world to win for its entry titled, “Ear worn sensor for activity recognition, energy expenditure and gait monitoring,” entered in the healthcare category. This sensor worn on a person’s ear is able to measure balance, body posture, activity level, and heart rate, and then transmit that information wirelessly to a computer or other device where it could be viewed by the patient's health care provider. Because the ear sensor would have to be very small and light, it would need to have ultra low power consumption. This is possible if the sensor is designed using Bluetooth low energy wireless technology. The award was presented by Dr. Mike Foley, CEO of the Bluetooth Special Interest Group, at ispo, the world’s largest sporting goods trade show. Professor Guang-Zhong Yang represented the winners, collecting prize money of USD $5,000, a Bluetooth Qualification Program voucher valued at up to US $10,000, and an Anritsu test set worth USD $17,000.
Nicholas Pau of New Zealand won the home automation category. Pau from the Wireless Research Centre (WRC) at the University of Canterbury in Christchurch, NZ,  proposed a device that would alert people when it’s time to refill Liquefied Petroleum Gas (LPG) canisters used for heating or cooking, and also tell them if there’s a leak in the canister.
Biju Thomas of the United States won the sports and fitness category. He proposed an impact sensor capable of providing detailed measurements of shock in sports accidents, such as a helmet that tells you how hard you hit your head if you fall while performing different sports activities. The severity of impact could be measured and transmitted to a mobile phone using Bluetooth low energy technology. This could help detect head injuries that seem minor, but turn out to be much more severe than a person realizes.

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