Guide to Biometrics
Soft biometrics-combining body weight and fat measurements with fingerprint biometrics
Pattern Recognition Letters
Recognizing whether sensors are on the same body
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
(sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers
Proceedings of the 18th ACM conference on Computer and communications security
An amulet for trustworthy wearable mHealth
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
Using height sensors for biometric identification in multi-resident homes
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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Mobile and wearable systems for monitoring health are becoming common. If such an mHealth system knows the identity of its wearer, the system can properly label and store data collected by the system. Existing recognition schemes for such mobile applications and pervasive devices are not particularly usable - they require active engagement with the person (e.g., the input of passwords), or they are too easy to fool (e.g., they depend on the presence of a device that is easily stolen or lost). We present a wearable sensor to passively recognize people. Our sensor uses the unique electrical properties of a person's body to recognize their identity. More specifically, the sensor uses bioimpedance - a measure of how the body's tissues oppose a tiny applied alternating current - and learns how a person's body uniquely responds to alternating current of different frequencies. In this paper we demonstrate the feasibility of our system by showing its effectiveness at accurately recognizing people in a household 90% of the time.