Motion Pattern Recognition and Energy Consumption Prediction Model Based on Computer Vision

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600120329

Enrollment

Unknown

Registered

2026-03-12

Start date

2026-03-31

Completion date

Unknown

Last updated

2026-03-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Modeling Group:N/A

Independent Validation Group:N/A

Eligibility

Sex/Gender

All

Age

20 Years to 24 Years

Inclusion criteria

Inclusion criteria: 1. College students aged between 20 and 24. 2. No history of exercise risks or musculoskeletal disorders. 3. Willing to participate in the study and able to cooperate with the research process; 4. No obvious discomfort at rest, baseline checks (blood pressure, heart rate) within the safe range.

Exclusion criteria

Exclusion criteria: 1. Clear cardiovascular/respiratory/neurological or musculoskeletal diseases; related surgery or moderate to severe injury within the past 3 months. 2. Prescription drugs that affect metabolism or physical performance are being used and cannot be discontinued. 3. Acute fever/infection (within the past 2 weeks); pregnancy or trying to conceive. 4. Smoking (daily in the past 6 months or frequently in the past 30 days) or heavy drinking. 5. Intolerance or contraindications to treadmill/jumping-type exercises. 6. Those who do not agree with the video recording and sensor data collection/storage terms or are unable to cooperate to complete the task.

Design outcomes

Primary

Measure	Time frame
Expenditure of energy;Accuracy;	—

Countries

China

Contacts

Public ContactZhou Zhixiong

Capital University of Physical Education and Sports

zhouzhixiong@cupes.edu.cn+86 10 8209 9489

Outcome results