ArticleSensors (Basel, Switzerland)2024
Using a Webcam to Assess Upper Extremity Proprioception: Experimental Validation and Application to Persons Post Stroke.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The trial behind it
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Who cites it
3 citing papers in PubMed.
- Computer Vision for Movement Observation and Recovery Enhancement (C-MORE): Box and Blocks Test.Bioengineering (Basel, Switzerland) · 2026Article
- Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study.Journal of neuroengineering and rehabilitation · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Many medical conditions impair proprioception but there are few easy-to-deploy technologies for assessing proprioceptive deficits. Here, we developed a method-called "OpenPoint"-to quantify upper extremity (UE) proprioception using only a webcam as the sensor. OpenPoint automates a classic neurological test: the ability of a person to use one hand to point to a finger on their other hand with vision obscured. Proprioception ability is quantified with pointing error in the frontal plane measured by a deep-learning-based, computer vision library (MediaPipe). In a first experiment with 40 unimpaired adults, pointing error significantly increased when we replaced the target hand with a fake hand, verifying that this task depends on the availability of proprioceptive information from the target hand, and that we can reliably detect this dependence with computer vision. In a second experiment, we quantified UE proprioceptive ability in 16 post-stroke participants. Individuals post stroke exhibited increased pointing error (
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Registered trials
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