Inertia sensor-based guidance system for upperlimb posture correction.

Stroke rehabilitation is labor-intensive and time-consuming. To assist patients and therapists alike, we propose a wearable system that measures orientation and corrects arm posture using vibrotactile actuators. The system evaluates user posture with respect to a reference and gives feedback in the form of vibration patterns. Users correct their arm posture, one DOF at a time, by following a protocol starting from the shoulder up to the forearm. Five users evaluated the proposed system by replicating ten different postures. Experimental results demonstrated system robustness and showed that some postures were easier to mimic depending on their naturalness.

[1]  S. Bolanowski,et al.  Four channels mediate the mechanical aspects of touch. , 1988, The Journal of the Acoustical Society of America.

[2]  R. Johansson.  Tactile sensibility in the human hand: receptive field characteristics of mechanoreceptive units in the glabrous skin area. , 1978, The Journal of physiology.

[3]  Roman Kuc,et al.  Binaural sonar electronic travel aid provides vibrotactile cues for landmark, reflector motion and surface texture classification , 2002, IEEE Transactions on Biomedical Engineering.

[4]  Mary S. Binseel,et al.  The Tactile Modality: A Review of Tactile Sensitivity and Human Tactile Interfaces , 2007 .

[5]  Nelson G. Durdle,et al.  A wearable computer for physiotherapeutic scoliosis treatment , 2003, IEEE Trans. Instrum. Meas..

[6]  S.M.N.A. Senanayake,et al.  A Real-Time System With Assistive Feedback for Postural Control in Rehabilitation , 2010, IEEE/ASME Transactions on Mechatronics.

[7]  G. Rosati.  The place of robotics in post-stroke rehabilitation , 2010, Expert review of medical devices.

[8]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[9]  Tota Mizuno,et al.  A Basic Study on Tactile Navigation Using Vibration Motor Braking by Skin Against Vibration and Body Positioning Suitable for Tactile Information Presentation , 2008, J. Robotics Mechatronics.

[10]  W. Rymer,et al.  Target-dependent differences between free and constrained arm movements in chronic hemiparesis , 2004, Experimental Brain Research.

[11]  P. Bach-y-Rita,et al.  Simultaneous and successive cutaneous two-point thresholds for vibration , 1969 .

[12]  Zhaoying Zhou,et al.  A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. , 2004, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  T. J. Moore,et al.  Measurement of Specific Mechanical Impedance of the Skin: Effects of Static Force, Site of Stimulation, Area of Probe, and Presence of a Surround , 1972 .

[14]  Kang Li,et al.  An interactive therapy system for arm and hand rehabilitation , 2010, 2010 IEEE Conference on Robotics, Automation and Mechatronics.

[15]  S. Gielen,et al.  Online monitoring of dyskinesia in patients with Parkinson's disease , 2003, IEEE Engineering in Medicine and Biology Magazine.

[16]  A Cappello,et al.  Energetic assessment of trunk postural modifications induced by a wearable audio-biofeedback system. , 2009, Medical engineering & physics.

[17]  C. Wall,et al.  Vibrotactile tilt feedback improves dynamic gait index: a fall risk indicator in older adults. , 2009, Gait & posture.

[18]  Z Matjacić,et al.  Control of posture with FES systems. , 2003, Medical engineering & physics.

[19]  Massimo Bergamasco,et al.  Real-Time Gesture Recognition, Evaluation and Feed-Forward Correction of a Multimodal Tai-Chi Platform , 2008, HAID.

[20]  G M Lyons,et al.  An electrode configuration technique using an electrode matrix arrangement for FES-based upper arm rehabilitation systems. , 2006, Medical engineering & physics.

[21]  G. Wulf,et al.  Extrinsic feedback for motor learning after stroke: What is the evidence? , 2006, Disability and rehabilitation.

[22]  I-Ming Chen,et al.  The development of a real-time wearable motion replication platform with spatial sensing and tactile feedback , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Cynthia Breazeal,et al.  TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning , 2007, IEEE Transactions on Robotics.

[24]  Lynette A. Jones,et al.  Characterization of Tactors Used in Vibrotactile Displays , 2008, J. Comput. Inf. Sci. Eng..