Accurate, private, and real-time. Repetition-based or time-based exercise.
Using State of the art machine learning model trained on professional exercise video.
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
Accuracy %, reps, and guidance.
All processing done locally, no video footage leaving user's device.
Add additional exercise easily by retraining our machine learning model.
Works on any device any operating system: desktop, laptop, tablet, Android, iOS.
Easily integrate GymSense into your fitness or health app.
Optimized to run on user's device with or without GPU.
Promote engaging healthy experience in your industry.
