Smart Shirt

DEVELOPED FOR
Sports performance institutes and rehabilitation centers (conducting applied wearable biomechanics research)

The challenge

  • Capturing accurate muscle activation in real time remains challenging without cumbersome electrodes or wired systems.
  • Traditional EMG methods are intrusive, uncomfortable, and disrupt movement – deterring adoption for training, rehabilitation, or ergonomic applications.

The Solution

Experimental implementation of a new class of wearable devices powered by advanced AI algorithms.

An integrated “smart” T-shirt was designed to noninvasively monitor, visualize, and correct human muscle activity using embedded EMG sensors and tactile feedback:

  • Flexible garment embedded with dry EMG electrodes tracks muscle workload during physical activity.
  • A wireless module captures data and translates it into intuitive visual feedback using advanced AI algorithms
  • Tactile actuators provide real-time haptic cues to guide the wearer’s movement toward a reference pattern.

This configuration enables immediate, embodied muscle correction without cumbersome external devices.

Impact

Capturing accurate muscle activation in real time remains challenging without cumbersome electrodes or wired systems.

Traditional EMG methods are intrusive, uncomfortable, and disrupt movement – deterring adoption for training, rehabilitation, or ergonomic applications.

Industrial Directions

Applications span healthcare, sports, and workplace wellness sectors:

  • Physical therapy clinics and rehabilitation centres for targeted muscle retraining
  • Professional sports teams and fitness studios focusing on performance and injury prevention
  • Occupational health programs aiming to reduce musculoskeletal strain and improve employee well-being

Research Team

Meet Our PIs

Discover the principal investigators behind this project and the expertise that made it possible.

Prof. Dr. Alexander Tormasov

Open Vacancies

Join our team working on cutting-edge autonomous transport systems. Explore opportunities in machine learning, computer vision, and robotics.

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