WEARABLE SENSORS BASED REAL-TIME MONITORING OF GAIT KINEMATICS FOR LOWER EXTREMITY EXOSKELETONS

Clicks: 203
ID: 272124
2021
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #4 of 10 articles by views in International Journal of Innovations in Engineering Research and Technology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This paper presents a real-time gait analyzer used to record the gait pattern of a subject which can beprimary input to lower extremity exoskeletons. Studies have been carried out on walking behaviour ofsubjects indicating that lower extremity exoskeletons can take inputs as hip and knee joint movement anglesin sagittal plane. Wearable gait motion analyzer can be used to operate lower extremity exoskeletons in twodifferent modes: real-time gait and pre-defined gait. For pre-defined gait mode, wearable gait motionanalyzer provides wearer specific gait pattern of hip and knee joint angles in sagittal plane. A comparisonstudy on gait data obtained from gait lab and wearable gait motion analyser was carried out and showed 98%correlation match. Gyroscopes of IMU are also used to measure angular velocity of hip and knee joints toestimate specifications of exoskeleton actuators.
Reference Key
Malhotra2021internationalWEARABLE Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rahul Malhotra;Saurav Pratap Singh;K. Mohanavelu;T. M. Kotresh;
Journal International Journal of Innovations in Engineering Research and Technology
Year 2021
DOI
2912
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.