Personalised Motion Feedback in Artificial Intelligence Treatment Home

Chronic ankle instability is a common problem that affects millions. The researchers tested the AI-supported**adaptive gait biofeedback system in the treatment of this situation. The system offers real-time corrections by analyzing the patient’s own movements.

Main points of operation:

• Over 20 participants were analyzed walking cycle using temporal convolusion classifier
• Leave-one-subject-out (LOSO) model performance was evaluated by cross verification method, which means each participant’s data set is tested by dropping outside
• 7 participants in the adaptive group completed 9 sessions within 3 weeks
• System “Import” and “KÖTU” movements have given real-time feedback by classifying according to angle data
• Personalized model update, each patient’s unique walking featuresdickate

The system allows patients to monitor their performance during the repeated workout application. Evaluation of model accuracy and human response together is critical to understanding the effectiveness of such adaptable systems in clinical practice. Research shows how personalized AI interventions can revolutionize in the field of physical treatment.