Validation of Foot Placement Locations from Ankle Data of a Kinect v2 Sensor
| Autor: | Daphne J. Geerse, Detmar Kolijn, Bert H. Coolen, Melvyn Roerdink |
|---|---|
| Přispěvatelé: | Coordination Dynamics, AMS - Ageing and Morbidity, Human Movement Sciences, IBBA |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
030506 rehabilitation
Computer science Point cloud Clinical settings TOST procedure gait lcsh:Chemical technology Biochemistry Article orientation Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Gait (human) Orientation (geometry) medicine Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Simulation validation Foot Kinect v2 sensor foot placement locations Stride length Atomic and Molecular Physics and Optics Biomechanical Phenomena medicine.anatomical_structure Body orientation Ankle 0305 other medical science Software 030217 neurology & neurosurgery Foot (unit) |
| Zdroj: | Geerse, D J, Coolen, B, Kolijn, D T T I & Roerdink, M 2017, ' Validation of Foot Placement Locations from Ankle Data of a Kinect v2 Sensor ', Sensors, vol. 17, no. 10, 2301 . https://doi.org/10.3390/s17102301 Sensors, Vol 17, Iss 10, p 2301 (2017) Sensors, 17(10):2301. Multidisciplinary Digital Publishing Institute (MDPI) Sensors; Volume 17; Issue 10; Pages: 2301 Sensors Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | The Kinect v2 sensor may be a cheap and easy to use sensor to quantify gait in clinical settings, especially when applied in set-ups integrating multiple Kinect sensors to increase the measurement volume. Reliable estimates of foot placement locations are required to quantify spatial gait parameters. This study aimed to systematically evaluate the effects of distance from the sensor, side and step length on estimates of foot placement locations based on Kinect’s ankle body points. Subjects (n = 12) performed stepping trials at imposed foot placement locations distanced 2 m or 3 m from the Kinect sensor (distance), for left and right foot placement locations (side), and for five imposed step lengths. Body points’ time series of the lower extremities were recorded with a Kinect v2 sensor, placed frontoparallelly on the left side, and a gold-standard motion-registration system. Foot placement locations, step lengths, and stepping accuracies were compared between systems using repeated-measures ANOVAs, agreement statistics and two one-sided t-tests to test equivalence. For the right side at the 2mdistance from the sensor we found significant between-systems differences in foot placement locations and step lengths, and evidence for nonequivalence. This distance by side effect was likely caused by differences in body orientation relative to the Kinect sensor. It can be reduced by using Kinect’s higher-dimensional depth data to estimate foot placement locations directly from the foot’s point cloud and/or by using smaller inter-sensor distances in the case of a multi-Kinect v2 set-up to estimate foot placement locations at greater distances from the sensor. |
| Databáze: | OpenAIRE |
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