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Revision as of 19:10, 2 February 2019
Contents
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 March 2018, he finished his PhD at Halmstad University on Gait Event Detection in the Real World.
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
MAREA Gait Database
MAREA gait database: http://islab.hh.se/mediawiki/Gait_database
Journal publications registered in DiVA
Slavka Viteckova, Siddhartha Khandelwal, Patrik Kutilek, Radim Krupicka, Zoltan Szabo (2020). Gait symmetry methods : Comparison of waveform-based Methods and recommendation for use. Biomedical Signal Processing and Control. 55
Siddhartha Khandelwal, Nicholas Wickström (2017). Novel methodology for estimating Initial Contact events from accelerometers positioned at different body locations. Gait & Posture.
Siddhartha Khandelwal, Nicholas Wickström (2016). Gait Event Detection in Real-World Environment for Long-Term Applications : Incorporating Domain Knowledge into Time-Frequency Analysis. IEEE transactions on neural systems and rehabilitation engineering.
Siddhartha Khandelwal, Nicholas Wickström (2016). Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database. Gait & Posture.
Conference publications registered in DiVA
João Bentes, Siddhartha Khandelwal, Hampus Carlsson, Marcus Kärrman, Tim Svensson, Nicholas Wickström (2017). Novel System Architecture for Online Gait Analysis. The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Siddhartha Khandelwal, Nicholas Wickström (2014). Detecting Gait Events from Outdoor Accelerometer Data for Long-term and Continuous Monitoring Applications. 13th International Symposium on 3D Analysis of Human Movement (3D-AHM 2014), 14–17 July, 2014, Lausanne, Switzerland.
Siddhartha Khandelwal, Nicholas Wickström (2014). Identification of Gait Events using Expert Knowledge and Continuous Wavelet Transform Analysis. 7th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2014), Angers, France, March 3-6, 2014.
Siddhartha Khandelwal, Christine Chevallereau (2013). Estimation of the Trunk Attitude of a Humanoid by Data Fusion of Inertial Sensors and Joint Encoders. The 16th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR 2013), Sydney, Australia, 14-17 July, 2013.
