Detecting gait phases from RGB-D images based on hidden markov model
Gait contains important information about the status of the human body and physiological signs. In many medical applications, it is important to monitor and accurately analyze the gait of the patient. Since walking shows the reproducibility signs in several phases, separating these phases can be use...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2016-01-01
|
| Series: | Journal of Medical Signals and Sensors |
| Subjects: | |
| Online Access: | http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2016;volume=6;issue=3;spage=158;epage=165;aulast=Heravi |