1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms
Human Activity Recognition (HAR) has emerged as a major player in this era of cutting-edge technological advancement. A key role that HAR plays is its ability to remotely monitor people. The objective of this paper is to classify human activities based on the data retrieved from smartphone sensors (...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2021-06-01
|
Series: | International Journal of Cognitive Computing in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307421000140 |