Hand Gesture-Controlled Wheeled Mobile Robot for Prospective Application as Smart Wheelchairs

Leon Muli Suryavanshi, Ananth Jnana Chandraraj, Kshetrimayum Lochan, Pooja Nag

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The wheelchair is used to assist in movement and heavily relied on by people who have significant difficulty in walking. Manual wheelchairs can be used by people with good upper limb strength and dexterity, however people suffering from any kind of locomotive disabilities in the arms would require assistance. This article reports the proof of concept of a smart electric wheelchair that can be controlled by utilizing hand gestures. A prototype with wheeled mobile robot was developed and involved the use of data fusion from sensors mounted on human hand to create a scheme for motor control of the wheels. Hand gesture dependent data from accelerometers and gyroscope were inputs to control the wheelchair in the required direction. The prototype of the wheelchair, PID based controller and a hand mounted sensor unit (HMSU) was able to function reliably and efficiently on urban terrain.

Original languageEnglish
Title of host publicationSmart Sensors Measurement and Instrumentation - Select Proceedings of CISCON 2021
EditorsShreesha Chokkadi, Rajib Bandyopadhyay
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9789811969126
Publication statusPublished - 2023
EventControl Instrumentation System Conference, CISCON 2021 - Virtual, Online
Duration: 26-11-202127-11-2021

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceControl Instrumentation System Conference, CISCON 2021
CityVirtual, Online

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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