Hand Gesture Controlled Smart Wheelchair with GPS Tracking and Deep Learning Based Object Detection for Collision Avoidance

Author:

Ehat Mahdin Md.1,Mahim Ornob Tanvir1,Elahi Akhter Mahmud1,Ali Mullick Shamim1,Shariar Arnob Shad1,Palit Rajesh1,Binte Habib Ashfia1

Affiliation:

1. North South University,Dept. of Electrical and Computer Engineering,Dhaka,Bangladesh

Publisher

IEEE

Reference15 articles.

1. Convolutional neural network for object detection system for blind people;wong;Journal of Telecommunication Electronic and Computer Engineering (JTEC),2019

2. Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN

3. Deep learning for object detection and retrieval with Intel’s NCS - as part of autonomous wheelchair navigation;tsiatsios;DIVA,2020

4. Salient Object Detection via Multiple Instance Learning

5. Object Detection and seperation Using Raspberry PI

Cited by 2 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. Smart Nursing Wheelchairs: A New Trend in Assisted Care and the Future of Multifunctional Integration;Biomimetics;2024-08-14

2. SecGes: A Secure Biometric-Driven Hand Gesture Recognition System for Smart Wheelchair Movement;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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