Analyzing Gait Using a Time-of-Flight Camera

Rasmus Ramsbøl Jensen, Rasmus Reinhold Paulsen, Rasmus Larsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    An algorithm is created, which performs human gait analysis using spatial data and amplitude images from a Time-of-flight camera. For each frame in a sequence the camera supplies cartesian coordinates in space for every pixel. By using an articulated model the subject pose is estimated in the depth map in each frame. The pose estimation is based on likelihood, contrast in the amplitude image, smoothness and a shape prior used to solve a Markov random field. Based on the pose estimates, and the prior that movement is locally smooth, a sequential model is created, and a gait analysis is done on this model. The output data are: Speed, Cadence (steps per minute), Step length, Stride length (stride being two consecutive steps also known as a gait cycle), and Range of motion (angles of joints). The created system produces good output data of the described output parameters and requires no user interaction.
    Original languageEnglish
    Title of host publicationProceedings of the Scandinavian Conference on Image Analysis
    Place of PublicationHeidelberg
    Publication date2009
    Publication statusPublished - 2009
    Event16th Scandinavian Conference on Image Analysis (SCIA) - Oslo, Norway
    Duration: 15 Jun 200918 Jun 2009


    Conference16th Scandinavian Conference on Image Analysis (SCIA)
    Internet address


    • gait analysis
    • computer vision
    • Markov random fields
    • Time-of-flight camera


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