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Decision-tree-based human activity classification algorithm using single-channel foot-mounted gyroscope
2015
Electronics Letters
Wearable devices that measure and recognise human activity in realtime require classification algorithms that are both fast and accurate when implemented on limited hardware. This paper presents a decision-tree based method for differentiating between individual walking, running, stair climbing and stair descent strides using a single channel of a foot mounted gyroscope suitable for implementation on embedded hardware. Temporal features unique to each activity were extracted using an initial
doi:10.1049/el.2015.0436
fatcat:wjnoeoy3c5hzzo6kn6clpb7umy