An Iot Based Wheelchair For Disabled Persons


Updated over 1 year ago

Abstract

The present invention relates to an IoT based wheelchair for disabled persons. The present invention discloses an innovative wheelchair for quadriplegia patient that controlled by hand gestures, motion. Doctors, family members monitor movement by the help of different data given by sensors on wheelchair by a cloud-based application. Wheelchair is able to detect correct path, and alert before any obstacle. Oxygen level, body temperature, blood pressure all these parameters are monitored in wheelchair. An alert system send alert if patient get unstable. With the help of machine learning wheelchair is able to move and automatically operate on some fixed path. Inbuilt sensor based alert system, health regulation system and AI, ML based path prediction system makes the wheelchair more Efficient and Safer.

Information

Application ID 202211022906
Invention Field BIO-MEDICAL ENGINEERING
Date of Application 2022-04-19
Publication Number 16/2022

Applicants

Name Address Country Nationality
Graphic Era Hill University, Dehradun Campus 510, Society Area, Clement Town, Dehradun – 248002, Uttarakhand, India India India

Inventors

Name Address Country Nationality
Rahul Chauhan Assistant Professor, Computer Science, GEHU India India
Jay Upadhyay Student, Computer Science, GEHU India India
Aditya Pratap Student, Computer Science, GEHU India India
Prashant kholiya Student, Computer Science, GEHU India India
Ashish Joshi Student, Computer Science, GEHU India India

Specification

Documents

Name Date
202211022906-FORM-9 [19-04-2022(online)].pdf 2022-04-19
202211022906-FORM 1 [19-04-2022(online)].pdf 2022-04-19
202211022906-REQUEST FOR EARLY PUBLICATION(FORM-9) [19-04-2022(online)].pdf 2022-04-19
202211022906-DECLARATION OF INVENTORSHIP (FORM 5) [19-04-2022(online)].pdf 2022-04-19
202211022906-STATEMENT OF UNDERTAKING (FORM 3) [19-04-2022(online)].pdf 2022-04-19
202211022906-COMPLETE SPECIFICATION [19-04-2022(online)].pdf 2022-04-19
202211022906-DRAWINGS [19-04-2022(online)].pdf 2022-04-19

Orders

Applicant Section Controller Decision Date URL