Using computer vision to identify tics in people with Tourette Syndrome
SCH: Computer Vision Algorithms to Detect Tics In Patients with Tourette Syndrome
This study is working on a smart system that can spot and understand tics in people with Tourette Syndrome while they do different activities, with the goal of helping them practice behavior therapy skills more easily and effectively, even without a human partner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10817272 on NIH RePORTER |
What this research studies
This research aims to develop advanced computer vision algorithms that can detect and classify tics in patients with Tourette Syndrome (TS) during various activities. By creating a multi-view sensor system, the project will gather data on tic occurrences, which will be used to refine a hierarchical ontology of tics. The ultimate goal is to create a digital practice partner that can assist patients in practicing behavior therapy skills, making treatment more accessible and effective. This innovative approach addresses the limitations of traditional behavior therapy, particularly the need for a human practice partner.
Who could benefit from this research
Good fit: Ideal candidates for this research are children and adolescents diagnosed with Tourette Syndrome who are seeking effective management strategies for their tics.
Not a fit: Patients who do not have Tourette Syndrome or those who have already achieved satisfactory tic management through other means may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide patients with a reliable tool to practice and manage their tics more effectively, potentially improving their quality of life.
How similar studies have performed: Other research has shown promise in using technology for behavioral interventions, but this specific approach utilizing computer vision for tic detection is relatively novel.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Vidal, Rene — University of Pennsylvania
- Study coordinator: Vidal, Rene
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.