Sitting posture Analysis using CNN and RCNN-Reference-Cited by-同舟云学术

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Sitting posture Analysis using CNN and RCNN

Published:2023-03-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII)
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Author:

R Nishitha¹,Sudhakar T.¹,Bethanney Janney J¹,Krishnamoorthy N. R.²,Dhanalakshmi K³,Vigneshwaran S⁴

Affiliation:

1. Sathyabama Institute of Science and Technology,Biomedical Engg. Department,Chennai

2. Sathyabama Institute of Science & Technology,Dept. of ECE,Chennai

3. Sathyabama Institute of Science and Technology,Dept. of Computer Science Engg,Chennai

4. Sathyabama Institute of Science and Technology,M.Tech-Medical Instrumentation,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180902/10180904/10181038.pdf?arnumber=10181038

Reference22 articles.

1. Human posture recognition based on multiple features and rule learning

2. Improved Self-Organizing Map-Based Unsupervised Learning Algorithm for Sitting Posture Recognition System

3. Hip Positioning and Sitting Posture Recognition Based on Human Sitting Pressure Image

4. IoT Device for Sitting Posture Classification Using Artificial Neural Networks. Electronics;luna-perejón;SENSORS,2021

5. Modified Deep Learning Method for Body Postures Recognition;salih abedi;International Journal of Advanced Science and Technology,2020

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