Analysis of subject specific grasping patterns

Existing haptic feedback devices often struggle to adapt to users' needs and can be bulky. In our research, we aimed to address this by studying grasping biomechanics and focusing on individual grasping behavior.

We conducted experiments with 31 participants, analyzing how they grasped five different objects using motion capture and force sensors. By studying finger movements and forces, we discovered distinct patterns unique to each individual, achieving a classification success rate of over 95% in distinguishing grasping tasks among subjects.

The results suggest that grasping patterns are indeed subject-specific. This finding implies that personalized haptic feedback devices could enhance user experience and usability. Additionally, the collected dataset provides valuable insights into human grasping behavior, paving the way for future innovations in haptic technology.