工业技术与职业教育2025，Vol.23Issue(2)：1-7,7.
基于信号处理和机器学习的人类活动识别研究
Research on Human Activity Recognition Based on Signal Processing and Machine Learning
殷建艳1
作者信息
- 1. 唐山幼儿师范高等专科学校,河北 唐山 063000
- 折叠
摘要
Abstract
Human activity detection is an important task in behaviour recognition,with fall detection being particularly noteworthy due to its safety concerns and emergency intervention requirements.This study combines signal processing techniques with machine learning models to systematically investigate human activity detection tasks,with a particular focus on analysing the performance of fall detection.The experimental results show that all models perform well and exhibit their respective advantages in different tasks.This research provides important references for the development of fall detection systems and lays the foundation for the optimisation of activity detection models.关键词
信号预处理/机器学习/人类活动识别Key words
signal preprocessing/machine learning/human activity recognition分类
信息技术与安全科学引用本文复制引用
殷建艳..基于信号处理和机器学习的人类活动识别研究[J].工业技术与职业教育,2025,23(2):1-7,7.
