Learning Deep and Shallow Features for Human Activity Recognition

@inproceedings{Sani2017LearningDA,
  title={Learning Deep and Shallow Features for Human Activity Recognition},
  author={Sadiq Sani and Stewart Massie and Nirmalie Wiratunga and Kay Cooper},
  booktitle={KSEM},
  year={2017}
}
selfBACK is an mHealth decision support system used by patients for the self-management of Lower Back Pain. It uses Human Activity Recognition from wearable sensors to monitor user activity in order to measure their adherence to prescribed physical activity plans. Different feature representation approaches have been proposed for Human Activity Recognition, including shallow, such as with hand-crafted time domain features and frequency transformation features; or, more recently, deep with… CONTINUE READING