Eating and drinking gesture spotting and recognition using a novel adaptive segmentation technique and a gesture discrepancy measure

作者：

Highlights：

• Recognition of eating and drinking gestures using a single wrist-mounted unit.

• Evaluated adaptive segmentation technique incorporating real life variabilities.

• Proposed Soft-DTW gesture discrepancy measure for activity and gesture recognition.

摘要

•Recognition of eating and drinking gestures using a single wrist-mounted unit.•Evaluated adaptive segmentation technique incorporating real life variabilities.•Proposed Soft-DTW gesture discrepancy measure for activity and gesture recognition.

论文关键词：Gesture recognition,Gesture spotting,Wearable sensors,Adaptive signal segmentation

论文评审过程：Received 3 January 2019, Revised 18 July 2019, Accepted 17 August 2019, Available online 29 August 2019, Version of Record 5 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112888