TinyML-Based Gait Recognition for User Detection on an STM32L4 IoT Node-Reference-Cited by-同舟云学术

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TinyML-Based Gait Recognition for User Detection on an STM32L4 IoT Node

Published:2024-04-05 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Hassan Hateem¹,Abdullah M.¹,Hussain Muhammad Zunnurain²,Zulkifl Hasan Muhammad³,Mustafa Muzzamil⁴,Khalid Aqsa⁵,Awan Rimsha⁴,Hussain Usman⁶,Khan Zohaib Ahmed⁷,Javaid Arslan⁴

Affiliation:

1. University Lahore,Department of Computer Engineering Information Technology,Punjab,Pakistan

2. Bahria University Lahore Campus,Dept. of Computer Science

3. University of Central Punjab Lahore Pakistan,Faculty of Information Technology,Department of Computer Science

4. National College of Business Administration and Economics,Department of Computer Science,Lahore,Pakistan

5. Information Technology University,Lahore,Pakistan

6. University Of Home Economics

7. National College of Business Administration & Economics,Department of Computer Science,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543752.pdf?arnumber=10543752

Reference9 articles.

1. A reliable gait phase detection system

2. Walking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm

3. Deep Learning-Based Gait Recognition Using Smartphones in the Wild

4. Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units

5. A review on TinyML: State-of-the-art and prospects

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