Development of Deep Neural Framework for Human Activity Recognition-Reference-Cited by-同舟云学术

Development of Deep Neural Framework for Human Activity Recognition

Published:2024-02-16 Issue: Volume:9 Page:576-581
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Container-title:2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
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Author:

Kumar Madisetty Tharun¹,B Natarajan²,P Murali³,P Chellammal⁴,P Dhavakumar.²,T Muruganantham⁵

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering (AIE),Chennai,India,601103

2. VIT University,School of Computer Science and Engineering,Chennai,Tamilnadu,India

3. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

4. J J College of Engineering and Technology,Department of Computer Science and Engineering,Tamilnadu,India

5. K. Ramakrishnan College of Engineering,Dept. of ECE,Tiruchirappalli,Tamil Nadu,India,621112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502393/10502381/10502597.pdf?arnumber=10502597

Reference18 articles.

1. ImgFi: A High Accuracy and Lightweight Human Activity Recognition Framework Using CSI Image

3. Human Activity Recognition Using Smartphones With WiFi Signals

4. ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos

5. Open-Set Patient Activity Recognition With Radar Sensors and Deep Learning

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