A Deep Learning based Human Activity Recognition Model using Long Short Term Memory Networks
Author:
Affiliation:
1. VR Siddhartha Engineering College (A),Dept. Of CSE,Vijayawada,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9760735/9760712/09760794.pdf?arnumber=9760794
Reference17 articles.
1. Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. Journal of Universal Computer Science;anguita;Special Issue in Ambient Assisted Living Home Care,2013
2. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
3. Human Activity and Motion Disorder Recognition: Towards Smarter Interactive Cognitive Environments;reyes-ortiz;21th European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning ESANN 2013,2013
4. Human activity recognition with smartphone sensors using deep learning neural networks
5. Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
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1. NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring;IEEE Access;2024
2. FusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet;Lecture Notes in Networks and Systems;2024
3. Real-Time Online Goal Recognition in Continuous Domains via Deep Reinforcement Learning;Entropy;2023-10-04
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