ArticleHealthcare (Basel, Switzerland)2021
Placement Recommendations for Single Kinect-Based Motion Capture System in Unilateral Dynamic Motion Analysis.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validity and reliability of single camera markerless motion capture systems with RGB-D sensors for measuring shoulder range-of-motion: a systematic review.Frontiers in bioengineering and biotechnology · 2025Pooled it
- Validation of Azure Kinect for Upper Limb Motion Analysis Under Optimal and Suboptimal Conditions.Sensors (Basel, Switzerland) · 2026Article
- Validation of Azure Kinect for upper limb kinematic assessment after arthroscopic rotator cuff repair: task-dependent accuracy and postoperative overestimation.Frontiers in bioengineering and biotechnology · 2026Article
- Phase-Specific Biomechanical Characterization of Upper Limb Movements in Stroke.Bioengineering (Basel, Switzerland) · 2025Article
- Phase-specific multimodal biomarkers enable explainable assessment of upper limb dysfunction in chronic stroke.Frontiers in neuroscience · 2025Article
- Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research.Scientific data · 2024Article
- Article
- Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis.Heliyon · 2023Article
- How the Processing Mode Influences Azure Kinect Body Tracking Results.Sensors (Basel, Switzerland) · 2023Article
- A Simple Method to Optimally Select Upper-Limb Joint Angle Trajectories from Two Kinect Sensors during the Twisting Task for Posture Analysis.Sensors (Basel, Switzerland) · 2022Article
- Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.Sensors (Basel, Switzerland) · 2022Article
- Effectiveness and usability of the system for assessment and intervention of frailty for community-dwelling pre-frail older adults: A pilot study.Frontiers in medicine · 2022Article
- Promoting endoscopists' health through cutting-edge motion analysis technology: Accuracy and precision of ergonomic motion tracking system for endoscopy suite (EMTES).Journal of occupational health · 2022Article
- Digital therapeutics-based lumbar core exercise for patients with low back pain: A prospective exploratory pilot study.Digital healthArticle
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3 authors.
Funding
Abstract
Low-cost, portable, and easy-to-use Kinect-based systems achieved great popularity in out-of-the-lab motion analysis. The placement of a Kinect sensor significantly influences the accuracy in measuring kinematic parameters for dynamics tasks. We conducted an experiment to investigate the impact of sensor placement on the accuracy of upper limb kinematics during a typical upper limb functional task, the drinking task. Using a 3D motion capture system as the golden standard, we tested twenty-one Kinect positions with three different distances and seven orientations. Upper limb joint angles, including shoulder flexion/extension, shoulder adduction/abduction, shoulder internal/external rotation, and elbow flexion/extension angles, are calculated via our developed Kinect kinematic model and the UWA kinematic model for both the Kinect-based system and the 3D motion capture system. We extracted the angles at the point of the target achieved (PTA). The mean-absolute-error (MEA) with the standard represents the Kinect-based system's performance. We conducted a two-way repeated measure ANOVA to explore the impacts of distance and orientation on the MEAs for all upper limb angles. There is a significant main effect for orientation. The main effects for distance and the interaction effects do not reach statistical significance. The post hoc test using LSD test for orientation shows that the effect of orientation is joint-dependent and plane-dependent. For a complex task (e.g., drinking), which involves body occlusions, placing a Kinect sensor right in front of a subject is not a good choice. We suggest that place a Kinect sensor at the contralateral side of a subject with the orientation around 30∘ to 45∘ for upper limb functional tasks. For all kinds of dynamic tasks, we put forward the following recommendations for the placement of a Kinect sensor. First, set an optimal sensor position for capture, making sure that all investigated joints are visible during the whole task. Second, sensor placement should avoid body occlusion at the maximum extension. Third, if an optimal location cannot be achieved in an out-of-the-lab environment, researchers could put the Kinect sensor at an optimal orientation by trading off the factor of distance. Last, for those need to assess functions of both limbs, the users can relocate the sensor and re-evaluate the functions of the other side once they finish evaluating functions of one side of a subject.
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