We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
We developed a wearable fatigue monitoring system with a high-sensitivity 2-axis accelerometer and an on-board signal processing microcontroller. The proposed system measures fain...
Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...