1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms

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 (...

Full description

Bibliographic Details
Main Authors: Muralidharan K, Anirudh Ramesh, Rithvik G, Saket Prem, Reghunaath A A, Dr. M.P. Gopinath
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-06-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Activity recognition
Machine learning
Predictive modelling
Performance evaluation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666307421000140

Similar Items

Similar Items