Automating the assessment of wrist motion in telerehabilitation with haptic devices

Roni Barak Ventura, Angelo Catalano, Rayan Succar, Maurizio Porfiri

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


Stroke-induced motor impairment often prevents survivors from participating in activities of daily living, adversely impacting their quality of life. Desktop delta robots such as the Novint Falcon have been utilized in various home-settings to help recover fine-motor skills. They are compact and affordable, and can provide programmable sensorimotor feedback. In spite of these favorable features, it is presently not possible to directly measure the user’s wrist angles while interacting with these robots, which undermines their prospective use in telerehabilitation as patients’ motor performance cannot be reliably assessed. Here, we propose an experimental set-up where patients strap a smartphone device to their forearm and manipulate a haptic robot. In this setting, data from inertial sensors embedded in the smartphone will be integrated with data from the robot in a classification algorithm that infers the wrist angle. To study the viability of this approach, we perform experiments with one healthy user. We fix two inertial measurement units on their body, one on their forearm and one on the back of their hand, to measure the true wrist angle as they perform a motor task with a Novint Falcon device. We train a machine learning algorithm that predicts wrist angles from a single wearable sensor and the Novint Falcon movements. This effort constitutes a step toward automatic assessment of wrist movements in fine motor telerehabilitation and could enable real-time feedback in the absence of a therapist.

Original languageEnglish (US)
Title of host publicationSoft Mechatronics and Wearable Systems
EditorsIlkwon Oh, Sang-Woo Kim, Maurizio Porfiri, Woon-Hong Yeo
ISBN (Electronic)9781510672024
StatePublished - 2024
EventSoft Mechatronics and Wearable Systems 2024 - Long Beach, United States
Duration: Mar 25 2024Mar 28 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceSoft Mechatronics and Wearable Systems 2024
Country/TerritoryUnited States
CityLong Beach


  • Data science
  • delta robots
  • machine learning
  • motion analysis
  • stroke rehabilitation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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