Analysis of Socially Acceptable Smart Wheelchair Navigation Based on Head Cue Information

Author:

Tomari Razali,Kobayashi Yoshinori,Kuno Yoshinori

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Smart wheelchairs: A literature review;Simpson;Journal of Rehabilitation Research and Development,2005

2. How many people would benefit from a smart wheelchair?;Simpson;Journal of Rehabilitation Research and Development,2008

3. R. Grasse, Y. Morere and A. Pruski, Assisted Navigation for Person with Reduced Mobility: Path Recognition through Particle Filtering (Condensation Algorithm), Journal of Intelligent Robot System, 2010, 60, pp. 19-57.

4. R. Alami, I. Belousov, S. Fleury, M. Herb, F. Ingrand, J. Minguez, and B. Morisset, Diligent: Towards a Human-Friendly Navigation System, In Proc. of IROS’02, 2002, pp. 21-26.

5. A Human Aware Mobile Robot Motion Planner;Sisbot;IEEE Transaction on Robotics,2007

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1. Designing and Developing a Smart Wheelchair System using Raspberry Pi Comprising Hydrogel based Cushion and Pressure Mapping System to Prevent Decubitus Ulcers;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

2. Social Cue Detection and Analysis Using Transfer Entropy;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. Design and Implementation of Deep Learning Assisted Smart Wheelchair;Lecture Notes in Networks and Systems;2024

4. Development of a Motion Controller for the Electric Wheelchair of Quadriplegic Patients Using Head Movements Recognition;IEEE Embedded Systems Letters;2023

5. Evaluation of Socially-Aware Robot Navigation;Frontiers in Robotics and AI;2022-01-12

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