Taylor, Ken; Abdulla, Umran A.; Helmer, Richard J N; Lee, Jungoo; Blanchonette, Ian
Activity classification using mobile phones is useful for identifying training activities, then capturing short periods of high frequency training data and capturing and archiving appropriate training statistics for various training activities. Some available smart phone training information systems classify the negative case of resting during a training session but none actively detect training activities and classify type of activity. It is widely perceived that activity classification is...[Show more]
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