H-TIME: Haptic-enabled tele-immersive musculoskeletal examination

Yuan Tian, Suraj Raghuraman, Thiru Annaswamy, Aleksander Borresenr, Klara Nahrstedt, Balakrishnan Prabhakaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


The current state-of-the-art tele-medicine applications only allow audiovisual communication between a doctor and the patient, necessitating a clinician to physically examine the patient. The doctor relies on the physical examination performed by the clinician, along with the audiovisual dialogue with the patient. In this paper, a Haptic-enabled Tele-Immersive Musculoskeletal Examination (H-TIME) system is introduced, that allows doctors to physically examine musculoskeletal conditions of the patients remotely, by looking at the 3D reconstructed model of the patient in the virtual world, and physically feeling the patient's range of mobility using a haptic device. The proposed bidirectional haptic rendering in H-TIME can allow the doctor to evaluate a patient who suffers from problems in their upper extremities, such as the shoulder, elbow, wrist, etc., and evaluate them remotely. Real world user study was performed, between the doctors and the patients, and it highlighted the potential of the proposed system. The study indicated a high degree of correlation between the in-person and H-TIME evaluations of the patient. Both the doctors and patients involved in the study, felt that the system could potentially replace in-person consultations, someday.

Original languageEnglish (US)
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Number of pages9
ISBN (Electronic)9781450349062
StatePublished - Oct 23 2017
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: Oct 23 2017Oct 27 2017

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference


Other25th ACM International Conference on Multimedia, MM 2017
Country/TerritoryUnited States
CityMountain View

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Software


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