Title : 
Measuring the dynamic impedance of the human arm without a force sensor
         
        
            Author : 
Dyck, M. ; Tavakoli, Mahdi
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
         
        
        
        
        
        
            Abstract : 
Rehabilitation robots may be used to accurately measure the mechanical impedance of the human arm in order to quantitatively assess the motor function of a patient undergoing neurorehabilitation therapy. However, the high cost of these robotic systems and their required sensors has posed a barrier to widespread clinical use. We present a technique to measure the mechanical impedance of the human arm without the need for a physical force sensor to measure human-robot interaction forces. Instead, these forces are accurately estimated by a virtual sensor that incorporates the robot´s kinematics and dynamics, along with acceleration measurements from an inexpensive accelerometer. The identification techniques are validated on a mass-spring system of known impedance and are subsequently applied to data collected from the human arm.
         
        
            Keywords : 
accelerometers; human-robot interaction; manipulator dynamics; manipulator kinematics; medical robotics; patient rehabilitation; sensors; springs (mechanical); acceleration measurements; clinical use; force sensor; human arm dynamic impedance; human arm mechanical impedance; human-robot interaction forces; inexpensive accelerometer; mass-spring system; neurorehabilitation therapy; patient motor function; rehabilitation robots; robot dynamics; robot kinematics; virtual sensor; Force; Impedance; Impedance measurement; Joints; Robot sensing systems; accelerometers; arm impedance measurement; force sensors; rehabilitation robotics; virtual sensors;
         
        
        
        
            Conference_Titel : 
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
         
        
            Conference_Location : 
Seattle, WA
         
        
        
            Print_ISBN : 
978-1-4673-6022-7
         
        
        
            DOI : 
10.1109/ICORR.2013.6650349