Difference between revisions of "Siddhartha Khandelwal"
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| − | + | Code for Gait Event Detection algorithm: http://islab.hh.se/mediawiki/Gait_events | |
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| + | MAREA gait database: http://islab.hh.se/mediawiki/Gait_database | ||
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Revision as of 13:46, 26 April 2017
Siddhartha Khandelwal, PhD
Family Name: Khandelwal
Given Name: Siddhartha
Role:
Title: PhD
Subject: Human Motion Analysis using Wearable Sensors
Email: hello@vectorizemove.com
url:
Phone:
Cell Phone:
Courses:
Teaching: Matlab with Applications (7.5 credits), Robotic Manipulators (Teaching Assistant, 7.5 credits)
Subject areas: Signal Analysis
Application areas: Health Technology
Projects:
About Siddhartha
After finishing his Bachelors in Electronics from VIT University, India[1] and TU Dresden, Germany (Bachelor Thesis)[2], he worked for almost an year in a Robotics Start-up called ThinkLabs at IIT, Bombay (India)[3]. Then he received the Erasmus-Mundus scholarship "EMARO" [4] to pursue Masters in Robotics at Warsaw University of Technology, Poland [5] and Ecole Centrale Nantes, France [6]. In Nov 2012, he joined CAISR at Halmstad University to pursue his PhD on Human Motion Analysis using Wearable Sensors. His current research involves quantitative and qualitative analysis of human motion using wearable sensors (especially accelerometers) with focus on gait analysis, involving:
- Gait event detection in real-world environments for long-term and continuous monitoring applications
- Activity classification and characterization of gait using wearable sensors
- Early prediction and continuous monitoring of neuro-physiological diseases such as Parkinson, cerebral palsy, etc
- Analyzing the performance and technique of elite athletes with special focus on bicycling
- Prediction of energy expenditure using wearable sensors
Siddhartha elsewhere
YourShot - National Geographic
Cloud based mobile platform for free-living gait analysis: Youtube
News article on Robotics Education in India: The Times of India
News article on Robotics Competition in India: DNA, India
Open Source (code and data)
Code for Gait Event Detection algorithm: http://islab.hh.se/mediawiki/Gait_events
MAREA gait database: http://islab.hh.se/mediawiki/Gait_database
