Memorizing What You Did Last Week: Towards Detailed Actigraphy With A Wearable Sensor
- 1 June 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15450678,p. 47
- https://doi.org/10.1109/icdcsw.2007.43
Abstract
With sensors becoming smaller and more power efficient, wearable sensors that anyone could wear are becoming a feasible concept. We demonstrate a small lightweight module, called Porcupine, which aims at continuously monitoring human activities as long as possible, and as fine-grained as possible. We present initial analysis of a set of abstraction algorithms that combine and process raw accelerometer data and tilt switch states, to get descriptors of the user's motion- based activities. The algorithms are running locally, and the information they produce is stored in on-board memory for later analysis.Keywords
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