Wearable Sensors for Spatio-Temporal Grip Force Profiling

Rongrong Liu (1) , Florent Nageotte (2) , Philippe Zanne (1) , Michel de Mathelin (2) , Birgitta Dresp (3, 1)

1 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie
2 IRCAD/EITS - Institut de Recherche Contre les Cancers de l'Appareil Digestif-European Institute of Telesurgery
3 CNRS - Centre National de la Recherche Scientifique

Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature, biological or biochemical markers, and individual grip forces, which are studied in this paper. A four step pick and drop image guided and robot assisted precision task has been designed for exploiting a wearable wireless sensor glove system. Individual spatio temporal grip forces are analyzed on the basis of thousands of individual sensor data, collected from different locations on the dominant and non-dominant hands of each of three users in ten successive task sessions. Statistical comparisons reveal specific differences between grip force profiles of the individual users as a function of task skill level (expertise) and time.

Domaines: Sciences cognitives; Robotique [cs.RO]; Environnements Informatiques pour l'Apprentissage Humain

Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp. Wearable Sensors for Spatio-Temporal Grip Force Profiling. 1st IFSA Winter Conference on Automation, Robotics and Communication for Industry 4.0, Feb 2021, Chamonix-Mont-Blanc, France. ⟨hal-03115425⟩