Title
Identification of Object Dynamics Using Hand Worn Motion and Force Sensors.
Abstract
Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: 29.3% +/- 18.9% and 0.28 kg: 19.7% +/- 10.6%) and the spring constant of a physical spring object (16.3% +/- 12.6%). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports.
Year
DOI
Venue
2016
10.3390/s16122005
SENSORS
Keywords
Field
DocType
inertial sensors,force sensors,on-body measurements
Object dynamics,Force sensor,Computer vision,Thumb,Microelectromechanical systems,Simulation,Artificial intelligence,Inertial measurement unit,Engineering,Hand strength,Micro electrical mechanical systems,Interaction forces
Journal
Volume
Issue
Citations 
16
12
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Henk Kortier121.35
H. Martin Schepers261.30
Peter H. Veltink329142.38