A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism
(2022)
Presentation / Conference Contribution
Wang, X., Wang, Y., Lu, C., Yu, H., He, H., & Li, Z. (2021, December). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. Presented at 2021 International Conference on Advanced Mechatronic Systems (ICAMechS), Tokyo, Japan
Loose wearing or self-placement usually causes sensor displacement, which can deteriorate the performance of classifiers in real use. As a case study, this paper focuses on investigating the effect of wrist-worn sensor displacement on human activity... Read More about A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism.