Researchers at IIT Gandhinagar have developed a smart wearable patch that uses sensors and machine learning to analyse workout form and improve exercise techniques.
Webdesk-Amina Houth
A tiny wearable sensor developed by researchers at the Indian Institute of Technology Gandhinagar (IITGN) could help people improve their workout techniques by analysing body movements and providing data-driven feedback.
The experimental device is designed to help gym-goers and athletes understand their exercise form without relying entirely on a personal trainer. Led by Dr Biswajit Saha, the research team has developed a flexible sensor patch that monitors movements during physical activities, including weightlifting, strength training, tennis and swimming.
The patch works by attaching to specific parts of the body, where it bends in response to movement. These changes affect its electrical resistance, generating signals that can be used to analyse how a person performs an exercise.
The collected data is transmitted to a smartphone through Bluetooth, where a machine-learning model compares the user’s movements with reference data gathered from trainers, coaches and state- and national-level athletes.
According to the project description, the system examines factors such as the speed, force and consistency of repetitions. The technology is intended to distinguish between normal differences in individual movement patterns and potentially incorrect exercise techniques.
Developing such a system presents challenges because people have different body structures and movement patterns. Physical fatigue can also affect performance, making it important for the technology to identify meaningful deviations rather than treating every variation as a mistake.
The researchers do not consider the device a replacement for personal trainers. Instead, it is intended to support professional guidance by providing additional information that may help trainers assess movements and help individuals understand their performance.
The prototype is currently being tested by 50 gym-goers participating in weightlifting and strength-training sessions. Another 30 trainees are using the technology for activities including tennis and swimming.
The project has reportedly reached Technology Readiness Level 5, indicating that the technology has been validated in a relevant environment. A patent application is also underway.
However, the research findings have not yet been published, and the team is seeking industry and government partners to help develop the prototype into a commercially available product.
If successfully developed and made affordable, the wearable could offer a practical way for people exercising independently to receive more detailed feedback on their movements. Its effectiveness, accuracy and ability to provide reliable guidance will need further evaluation as development continues.
