Abstract
Understanding hand and wrist forces during activities of daily living (ADLs) are pertinent when modeling prosthetics/orthotics, preventing workplace-related injuries, and understanding movement patterns that make athletes, dancers, and musicians elite. The small size of the wrist, fingers, and numerous joints creates obstacles in accurately measuring these forces. In this study, 14 FlexiForce sensors were sewn into a glove in an attempt to capture forces applied by the fingers. Participants in this study wore the glove and performed grasp and key turn activities. The maximal forces produced in the study were 9 N at the distal middle finger phalanx and 24 N at the distal thumb phalanx, respectively, for the grasp and key turn activities. Results from this study will help in determining the minimal forces of the hand during ADLs so that appropriate actuators may be placed at the appropriate joints in exoskeletons, orthotics, and prosthetics.
Highlights
The movie scene in which Luke Skywalker tests out his prosthetic limb is captivating.The device allows him to manipulate objects, and appears to provide sensory feedback regarding the movements
In order to accomplish this, each individual sensor was tested after it had been sewn into the force glove
Datasheets provided by Tekscan revealed that the FlexiForce sensors provide linear conductance [19]
Summary
The movie scene in which Luke Skywalker tests out his prosthetic limb is captivating.The device allows him to manipulate objects, and appears to provide sensory feedback regarding the movements. Force and motion capture data knowledge of the wrist and hand during ADLs are imperative for building algorithmic biomimetics for human artificial intelligence. These algorithms can be utilized to model prosthetics/orthotics, prevent workplace-related injuries, and understand movement patterns that make athletes, painters, typists, dancers, and musicians unique and elite. Multiple studies have been completed to build a library of normative grip strength measurements [8]. This device has its limitations as it is only able to measure the gross grasp of the hand as a whole. In order to better understand the hand, it is imperative to record individual phalangeal forces and capture motion data during activities of daily living (ADLs)
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