  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.
