Applications in
Hand Mocap
& Robotic Hands

The virtual guitarist is able to accurately play untrained pieces of music with natural and realistic movements. NOKOV Motion Capture was used to collect fine data of hand training.

This article proposed a novel vision-based proprioception approach to estimate the state of the soft robotic finger in real-time and with high fidelity. The approach is benchmarked using NOKOV motion capture system and a haptic device. Both results show state-of-the-art accuracies.

This study presents a bioinspired method for continuous adaptive manipulation of objects using a three-fingered robotic hand. NOKOV motion capture system is utilized to track object posture and validate the proposed control strategy, enabling robust manipulation even under external disturbances.