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Updated: Apr 4, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
[Quantification and re-validation of standardized training for rotational lifting techniques based on motion capture
Bifeng Fu1, Chao Zhang1, Jin Su1
1The First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China; National Clinical Research Center for Chinese Medicine Acupuncture, Tianjin 300381, China; Regional Traditional Chinese Orthopedics Diagnosis and Treatment Center, State Administration of Traditional Chinese Medicine, Tianjin 300381, China.
Objective:
To explore the consistency of manual operation after training by the intelligent training robot for rotational lifting techniques.
Methods:
From October 2021 to December 2021, 20 healthy volunteers were selected to perform rotational lifting manipulation, including 11 males and 9 females, aged from 20 to 32 years old with average of (25.0±3.5) years old;body mass index (BMI) ranged from 18 to 25 kg·m-2 with an average of (21.0±2.3) kg·m-2. The rotational lifting technique movements were quantitatively decomposed. Each subject performed the operation once on each side. Optitrack motion capture system was used to capture the movement trajectory of rotational lifting technique. The mechanical data of foot mechanics of the subject (No. 1) and the operator (No. 2), the pre-traction force of the operator's elbow, the lifting force and the maximum force were collected through elbow and foot pressure plates for operation force of rotary lifting technique. The movement trajectory and force of rotary lifting technique were quantified, and the consistency was verified with the assessment data of the intelligent assessment robot system.
Results:
The pretraction force, lifting force and maximum force of No.1 plate on sole of foot were (298.03±8.42), (359.17±37.00) and (148.76±9.85) N respectively. The No. 2 plates on soles of feet were (872.71±63.47), (790.12±51.88), and (1, 020.34±89.34) N respectively;lifting time was (83.19±16.28) ms; the pre-traction force, lifting force and the maximum force of elbow pressure plate were (2.67±0.88), (2.24±0.83) and (3.98±1.01) kg respectively;the pretraction force, lifting plate force, and maximum force of robot group were (16.81±5.57), (10.36±4.42), and (21.26±7.07) kg respectively, and the lifting plate time was(116.81±29.77) ms. Pearson test result was conducted with the manipulation force of robot. The results showed that r values of plantar pressure plate No. 2 (r=0.632 9) and elbow pressure plate (r=0.722 7) were basically the same, while r values of plantar pressure plate No. 1 (r=-0.689 5) and No. 2 (r=0.632 9) were opposite. The change in mechanical assessment data of robot (r=0.406 0) compared with that of No.2 plantar board (r=0.632 9) showed the difference was 0.226 9. The cosine values of each lifting force were as follows:lifting force cos(θ) of robot group was -0.923, and angle was 157.38°. The lifting force cos(θ) of No. 2 board on sole of foot was -0.685, and angle was 126.87°. The lifting force cos(θ) of elbow pressure plate was -0.685, and angle was 131.82°. The key points of force diagrams of No. 2 pressure plate on sole of foot, robot mechanics, and elbow mechanics have strong similarities.
Conclusion:
The training and assessment of intelligent robot assessment system for spinning lifting technique have a clear regulatory effect on movements of spinning lifting technique operators.
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