Using haptic feedback to improve grasp force control in multiple sclerosis patients
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Improving finger force control with vibrational haptic feedback for Multiple Sclerosis
Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Development of Wearable-Agri-Robot: mechanism for agricultural work
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
MusicJacket: the efficacy of real-time vibrotactile feedback for learning to play the violin
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Learning basic dance choreographies with different augmented feedback modalities
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Intuitive vibro-tactile feedback for human body movement guidance
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
VI-Tennis: a vibrotactile/audio exergame for players who are visually impaired
Proceedings of the Fifth International Conference on the Foundations of Digital Games
Buzzing to play: lessons learned from an in the wild study of real-time vibrotactile feedback
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Transmission of forearm motion by tangential deformation of the skin
AH '12 Proceedings of the 3rd Augmented Human International Conference
CAVIAR: a vibrotactile device for accessible reaching
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Real-time feedback for learning the violin
BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
Technical Section: A review of virtual environments for training in ball sports
Computers and Graphics
Wearable range-vibrotactile field: design and evaluation
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
An investigation into the use of tactile instructions in snowboarding
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
Dynamic tactile guidance for visual search tasks
Proceedings of the 25th annual ACM symposium on User interface software and technology
Multimodal motion guidance: techniques for adaptive and dynamic feedback
Proceedings of the 14th ACM international conference on Multimodal interaction
Vibrotactile feedback of motor performance errors for enhancing motor learning
Proceedings of the 20th ACM international conference on Multimedia
Vibrotactile haptic feedback for human-robot interaction in leader-follower tasks
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Vibrotactile cueing using wearable computers for overcoming learned non-use in chronic stroke
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
International Journal of Autonomic Computing
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When humans learn a new motor skill from a teacher, they learn using multiple channels. They receive high level information aurally about the skill, visual information about how another performs the skill, and at times, tactile information from the teacher's physical guidance. This research proposes a novel approach where the student receives real-time tactile feedback, simultaneously over all joints, delivered through a wearable robotic system. This tactile feedback can supplement the visual or auditory feedback from the teacher. Our results using a 5-DOF robotic suit show a 27% improvement in accuracy while performing the target motion, and an accelerated learning rate of up to 23%. We report both of these results with high statistical significance (p les 0.01). This research is intended for use in a diverse set of applications including sports training, motor rehabilitation after neurological damage, dance, postural retraining for health, and many others. We call this system tactile interaction for kinesthetic learning (TIKL).