Title :
HAPI Bands: A haptic augmented posture interface
Author :
Rotella, Michele F. ; Guerin, Kelleher ; He, Xingchi ; Okamura, Allison M.
Author_Institution :
Dept. of Mech. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
In the instruction of motor tasks, feedback from a teacher in the form of visual demonstration, aural directives, or physical guidance enhances student performance and facilitates motor learning. When the teacher´s guidance is not available, or visual and aural cues are not appropriate, a wearable presentation of haptic feedback that mimics the teacher´s touch is an alternative solution. We present HAPI Bands, a set of user-worn bands instrumented with eccentric mass motors that provide vibrotactile feedback for guidance of static pose. Joint misalignment from a target pose is corrected for 15 degrees of freedom (DOFs) of the upper-body. HAPI Bands uses a low-cost range camera, the Microsoft Kinect, and related software to measure the 3D position of a user´s joints in space. We developed a novel algorithm that computes 6-DOF joint pose by integrating Kinect position sensing with orientation data from body-mounted accelerometers. Accuracy of the system´s sensing was measured against Optotrak data, resulting in average joint biases of approximately 2.33°, 7.13°, and 7.48° for torso, shoulder, and elbow joints, respectively, with an average static RMS measurement error of 0.59°. In a user study, haptic feedback was found to be as effective as visual feedback in reducing endpoint error in 1-DOF movements of the torso and arm. Future work is planned to evaluate the HAPI Bands system in realistic applications and explore guidance of dynamic motion trajectories.
Keywords :
augmented reality; haptic interfaces; mean square error methods; motion compensation; pose estimation; 3D position; DOF; HAPI bands; Kinect position sensing; Microsoft Kinect; Optotrak data; aural cues; aural directives; body-mounted accelerometers; degrees of freedom; dynamic motion trajectory; eccentric mass motors; endpoint error; haptic augmented posture interface; haptic feedback; joint misalignment; low-cost range camera; motor learning; motor tasks; orientation data; physical guidance; static RMS measurement error; static pose guidance; student performance; system sensing; target pose; user-worn bands; vibrotactile feedback; visual cues; visual demonstration; visual feedback; wearable presentation; Accelerometers; Haptic interfaces; Joints; Sensors; Shoulder; Torso; Vibrations;
Conference_Titel :
Haptics Symposium (HAPTICS), 2012 IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0808-3
Electronic_ISBN :
978-1-4673-0807-6
DOI :
10.1109/HAPTIC.2012.6183785