Detection of eating and drinking arm gestures using inertial body-worn sensors
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
On-Body Sensing Solutions for Automatic Dietary Monitoring
IEEE Pervasive Computing
Analysis of chewing sounds for dietary monitoring
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Active capacitive sensing: exploring a new wearable sensing modality for activity recognition
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
An Intelligent Food-Intake Monitoring System Using Wearable Sensors
BSN '12 Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks
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We build on previous work [5] that demonstrated, in simple isolated experiments, how head and neck related events (e.g. swallowing, head motion) can be detected using an unobtrusive, textile capacitive sensor integrated in a collar like neckband. We have now developed a 2nd generation that allows long term recording in real life environments in conjunction with a low power Bluetooth enabled smart phone. It allows the system to move from the detection of individual swallows which is too unreliable for practical applications to an analysis of the statistical distribution of swallow frequency. Such an analysis allows the detection of "nutrition events" such as having lunch or breakfast. It also allows us to see the general level of activity and distinguish between just being absolutely quiet (no motion) and sleeping. The neckband can be useful in a variety of applications such as cognitive disease monitoring and elderly care.