Physique-Based Human Activity Recognition Using Ensemble Learning and Smartphone Sensors
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9502188/09422805.pdf?arnumber=9422805
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predictive Analytics for Monitoring and Classifying Physical Activity Intensity Using Smartphone Sensors;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
2. An Efficient and Optimized CNN-LSTM Framework for Complex Human Activity Recognition System Using Surface EMG Physiological Sensors and Feature Engineering;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21
3. Physique-Driven Human Activity Recognition with Ensemble Learning;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21
4. Hierarchical Classifier for Improved Human Activity Recognition using Wearable Sensors;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
5. Advancements in Human Activity Recognition: A comprehensive Review of Smartphone and Wearable Sensor Integration;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
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