TY - GEN
T1 - Automated Kinematic Analysis Using Holistic Based Human Gait Motion for Biomedical Applications
AU - Prakash, Chandra
AU - Mishra, Uddeshya
AU - Jain, Manas
AU - Kumar, Rajesh
AU - Mittal, Namita
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Gait analysis is a valuable tool that can be used in human motion tracking in rehabilitation, biometrics, sports, surveillance, animation and other application areas. Vision-based gait analysis is common in clinical practice, however for the analysis, sophisticated devices and complex methods are prerequisite. These factors limit the applicability of gait analysis system. Thus there is a requirement of easy to operate and a low cost, yet reliable gait analysis system for general users. In this paper, a new approach has been proposed for an automated markerless gait system to describe, quantify and analyze human gait motion. A mixture of Gaussian based image segmentation is performed for feature extraction to identify the knee joint angle. Based on kinematic parameters, health care professionals can analyze and diagnosis gait pathology. The result conforms the usability of holistic based kinematic approach from the clinical prospective.
AB - Gait analysis is a valuable tool that can be used in human motion tracking in rehabilitation, biometrics, sports, surveillance, animation and other application areas. Vision-based gait analysis is common in clinical practice, however for the analysis, sophisticated devices and complex methods are prerequisite. These factors limit the applicability of gait analysis system. Thus there is a requirement of easy to operate and a low cost, yet reliable gait analysis system for general users. In this paper, a new approach has been proposed for an automated markerless gait system to describe, quantify and analyze human gait motion. A mixture of Gaussian based image segmentation is performed for feature extraction to identify the knee joint angle. Based on kinematic parameters, health care professionals can analyze and diagnosis gait pathology. The result conforms the usability of holistic based kinematic approach from the clinical prospective.
KW - Biomedical application
KW - Human gait motion
KW - Joint Angle analysis
KW - Kinematic analysis
KW - Silhouette extraction
UR - http://www.scopus.com/inward/record.url?scp=85053699131&partnerID=8YFLogxK
U2 - 10.1109/CONFLUENCE.2018.8442947
DO - 10.1109/CONFLUENCE.2018.8442947
M3 - Conference contribution
AN - SCOPUS:85053699131
SN - 9781538617182
T3 - Proceedings of the 8th International Conference Confluence 2018 on Cloud Computing, Data Science and Engineering, Confluence 2018
SP - 700
EP - 706
BT - Proceedings of the 8th International Conference Confluence 2018 on Cloud Computing, Data Science and Engineering, Confluence 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference Confluence on Cloud Computing, Data Science and Engineering, Confluence 2018
Y2 - 11 January 2018 through 12 January 2018
ER -