GymSense turns your camera into a personal trainer
Accurate, private, and real-time. Repetition-based or time-based exercise.
Recognizes 5 exercises
Using State of the art machine learning model trained on professional exercise video.
Planks
Squats
Jumping Jacks
Lunges
Push Ups
David Strömbäck, Sangxia Huang, and Valentin Radu. 2020. MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 168 (December 2020), 22 pages. DOI:https://doi.org/10.1145/3432701
Every movement tracked in GymSense is clinically linked to disease prevention
Features
Real-Time Feedback
Accuracy %, reps, and guidance.
Privacy by Design
All processing done locally, no video footage leaving user's device.
Multi-Exercise Support
Add additional exercise easily by retraining our machine learning model.
Cross-Platform
Works on any device any operating system: desktop, laptop, tablet, Android, iOS.
Embeddable
Easily integrate GymSense into your fitness or health app.
Edge Inference
Optimized to run on user's device with or without GPU.
Use cases
Promote engaging healthy experience in your industry.
Insurance
Corporate
Physiotherapy
Encourage policyholders to stay active.
Provide verified activity tracking for wellness programs.
Incentivize customers with premium discounts based on exercise compliance.
Enable AI-powered fitness programs without wearables.
Run company-wide wellness challenges & team activities.
Reduce absenteeism and healthcare costs through proactive fitness.
Monitor patients’ rehabilitation exercises in real-time.
Provide accurate posture feedback to reduce risk of re-injury.
Track progress over time for therapists and patients.
