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• Touching Movement: 3D Tactile Poses for Supporting Blind People in Learning Body Movements

  Kengo Tanaka, Xiyue Wang, Hironobu Takagi, Yoichi Ochiai, Chieko Asakawa · 2026 · Proceedings of the Twentieth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '26)

  Tanaka and colleagues investigate whether 3D-printed tactile models of whole-body poses can help blind learners acquire physical movements that are normally taught through visual demonstration. Verbal descriptions are notoriously inconsistent and struggle to convey nuance, while…

  tactile graphics · 3D printing · blindness and low vision · visual impairment · physical activity

• LaboSignes: an Interactive French Sign Language Recognition Interface

  Jules Françoise, Julie Lascar, Cyril Verrechia, Sidonie Minodier, Michèle Gouiffès, Annelies Braffort · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  LaboSignes is a web-based interactive French Sign Language (LSF) recognition system aimed at search-by-sign, addressing the fact that most online resources, including bilingual dictionaries and news sites, are navigable only through written French, which is a second language for…

  sign language · French Sign Language · sign language recognition · Deaf accessibility · gesture recognition

• WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users

  Yunzhi Li, Vimal Mollyn, Kuang Yuan, Patrick Carrington · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents WheelPoser, a real-time body pose estimation system designed specifically for wheelchair users using only four inertial measurement units (IMUs). Existing pose estimation methods are largely developed for standing and ambulatory users, relying on assumptions…

  wheelchair users · pose estimation · inertial measurement units · motion capture · body tracking

• Deep Learning Methods for Sign Language Translation

  Tejaswini Ananthanarayana, Priyanshu Srivastava, Akash Chintha, Akhil Santha, Brian Landy, Joseph Panaro, Andre Webster, Nikunj Kotecha, Shagan Sah, Thomastine Sarchet, Raymond Ptucha, Ifeoma Nwogu · 2021 · ACM Transactions on Accessible Computing

  This comprehensive study evaluates deep learning methods for translating sign language video directly to spoken/written text—critically, without requiring the intermediate step of gloss-based recognition (manual sign-for-sign transcription). The researchers systematically…

  sign language · machine translation · deep learning · transformer · neural network

• Design and Real-World Evaluation of Eyes-Free Yoga: An Exergame for Blind and Low-Vision Exercise

  Kyle Rector, Roger Vilardaga, Leo Lansky, Kellie Lu, Cynthia L. Bennett, Richard E. Ladner, Julie A. Kientz · 2017 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents Eyes-Free Yoga, an accessible exergame using the Microsoft Kinect that acts as a yoga instructor for people who are blind or have low vision, providing personalized auditory feedback based on real-time skeletal tracking. People with visual impairments face…

  visual impairment · exergame · exercise · Kinect · audio feedback

5 results.