Robust and reliable gait recognition in neurological clinical practice

Heinz-Josef Eikerling, Michael Uelschen, Erik Prinsen, Leendert Schaake, Jaap Buurke

Research output: Contribution to conferencePoster

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Abstract

Background: We describe an automated approach to easily track patients regaining their walking ability while recovering from neurological diseases (e.g. stroke). Based on captured gait data and objective measures derived out of it, the rehabilitation process can be optimized and thus steered. In order to apply such system in clinical practice two key requirements have to be fulfilled:
- the system needs to be applicable in terms of ease of use and performance;
- the derived measures need to be accurate.

Solution Approach: Up to day, marker-based tracking systems (e.g., Vicon) constitute the gold standard in terms of precision. Deviations of tracked and real marker positions are reported to be below 1 mm. However, this precision comes with a penalty regarding the time needed to accomplish measurements, since patients have to be prepared and the tracked data frequently has to be manually post-processed. Instead we propose a marker-less tracking system referred to as DynMetrics which permits to perform recordings in a far shorter time inter-val at the cost of reduced accuracy. The reduction seems to be acceptable for the purpose.

Evaluation: Usability. For evaluating the (i) usability of the DynMetrics, 5 physiotherapists were asked to repeatedly (4 times) use the system on patients. Usability was scored using the System Usability Scale (USC) and semi-structured interviews. The USC scores were converted to a value ranging between 0 and 100 (higher score indicates better usability). The physiotherapists rated DynMetrics with an ac-ceptable usability after the fourth use, whereas the usability of the DynMetrics system at first sight is insufficient for two out of the five physiotherapists.
Original languageEnglish
Number of pages1
Publication statusPublished - 29 Jul 2019
Event6th International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM 2019 - Maastricht, Netherlands
Duration: 26 Jun 201928 Jun 2019
Conference number: 6

Conference

Conference6th International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM 2019
Abbreviated titleICAMPAM
CountryNetherlands
CityMaastricht
Period26/06/1928/06/19

Keywords

  • Rehabilitation
  • Person tracking
  • Usability
  • Reliability

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  • Cite this

    Eikerling, H-J., Uelschen, M., Prinsen, E., Schaake, L., & Buurke, J. (2019). Robust and reliable gait recognition in neurological clinical practice. Poster session presented at 6th International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM 2019, Maastricht, Netherlands.