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CHINGMU Vision Cooperates with Beijing Sport University to Develop Rehabilitation‑Oriented Data Resource System / Company Updates

2022/05/20



On November 28, 2019, the China Sports Culture Expo & China Sports Tourism Expo opened officially at the Poly World Trade Center Expo in Guangzhou. Beijing Sport University was the sole sports‑university exhibitor at the event.

At this expo, Shanghai CHINGMU Vision Technology Co., Ltd. showcased its optical motion‑capture software alongside the jointly‑developed data‑resource system created in cooperation with the School of Sports Medicine and Rehabilitation, Beijing Sport University, adding highlights to the exhibition.

Today’s sports‑medicine and rehabilitation industry still faces challenges including limited market scale, low public awareness of rehabilitation, and uneven distribution of rehabilitation resources. Driven by modern lifestyles and work‑related stress, the annual number of patients treated at rehabilitation hospitals maintained an average annual growth rate of 5‑8 % from 2016 to 2018, and patient volumes are projected to keep rising in future years.





CHINGMU Vision On‑site Hardware Setup

1. 10 × MC1300 motion‑capture cameras 2. 1 × position server 3. Multiple customized interactive props

On‑site Staff Allocation

1. 1 technical‑support engineer 2. 1 on‑site demonstrator‑commentator

Supplied Software Tools

1. Real‑time optical motion‑capture software 2. Joint‑range‑of‑motion measurement software 3. Gait‑analysis measurement software

Key Software Highlights

  • Real‑time performance: Motion feedback latency reaches 4.8 ms. For reference, a human blink takes roughly 20‑40 ms.

  • High precision: Positional accuracy up to 125 micrometers; angular accuracy up to 0.1°. By comparison, the average hair‑diameter for East‑Asian populations ranges from 80‑90 micrometers.

  • Objectivity: Measurement results are generated automatically by the system, eliminating subjective bias from human evaluators.

  • Quantitative assessment: Multi‑dimensional metrics including time, distance, angle, velocity and acceleration support objective evaluation. Quantified data enables precise assessment and facilitates long‑term patient monitoring.

  • Engaging experience: Motion‑capture combined with VR transforms monotonous rehabilitation drills into immersive, motivating training sessions, which helps boost data collection and improves patient adherence to long‑term rehabilitation plans.




CHINGMU Vision expresses sincere gratitude to the School of Sports Medicine and Rehabilitation, Beijing Sport University, for this valuable professional exhibition opportunity. This showcase has reinforced CHINGMU’s understanding of strong market demand for specialized rehabilitation data‑resource systems. The system aims to deliver convenient, timely and effective rehabilitation outcomes for patients. By combining real‑time motion‑capture measurements with clinical datasets, accurate assessment reports for rehabilitants can be generated. CHINGMU Vision will carry out further research and development toward this goal.



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