StrokeTrack: wireless inertial motion tracking of human arms for stroke telerehabilitation

Authors:
Jihyoung Kim;Sungwon Yang;Mario Gerla
Affiliations:
UCLA;UCLA;UCLA
Venue:
Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare
Year:
2011

Citing 5
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Abstract

Stroke is a leading cause of disability in the United States and yet little technology is currently available for individuals with stroke to practice rehabilitation therapy progress in their homes. This paper presents StrokeTrack, an efficient, wearable upper limb motion tracking method for stroke rehabilitation therapy at home. StrokeTrack consists of two inertial measurement unit(IMU)s that are placed on the wrist and the elbow. Each IMU consists of a 3-axis accelerometer and a 3-axis gyroscope. In order to track the motion of the upper limb, StrokeTrack estimates the position of the forearm and upper arm by using an inertial tracking algorithm and a kinematic model. In the next step, StrokeTrack corrects the positions of the joints inferred from the inherent integration drift, and updates them. Finally, dynamic time warping (DTW) is adopted in order to check the accuracy of the patient's motions by matching them to the reference motions.