CSUN Centers and Institutes

 
 

Communities within CSUN Centers and Institutes

Recent Submissions

  • ASL Consent in the Digital Informed Consent Process 
    Kosa, Ben S.; Minakawa, Ai; Boudreault, Patrick; Vogler, Christian; Kushalnagar, Poorna; Kushalnagar, Raja (California State University, Northridge., 2023)
    There is an estimated 500,000 people in the U.S. who are deaf and who use ASL and live in the U.S. Compared to the general population, deaf people are at greater risk of having chronic health problems and experience ...
  • Development of a Shoulder-Mounted Tactile Notification System for the Deaf and Hard of Hearing 
    Murayama, Yuta; Emura, Rito; Tanaka, Shunya; Nakai, Yukiya; Shitara, Akihisa; Yoneyama, Fumio; Shiraishi, Yuhki (California State University, Northridge., 2023)
    In this study, a shoulder-mounted tactile notification system is proposed and developed for the deaf and hard-of-hearing (DHH) to go out safely and secure operation. The vibration detection rate, correct response rate, and ...
  • Deaf and Hearing Small Group Inclusive Communication System 
    Elglaly, Yasmine; Miller, Christa; Miller, Chreston; Patel, Rohan; Annapareddy, Spoorthy (California State University, Northridge., 2023)
    Small groups of Deaf or hard-of-hearing (DHH) and hearing individuals find in-person communication challenging due to differences in preferred communication modalities (L. Elliot et al., Ntsongelwa and Rivera-Sánchez;). ...
  • Live Captions in Virtual Reality (VR) 
    Pidathala, Pranav; Franz, Dawson; Waller, James; Kushalnagar, Raja; Vogler, Christian (California State University, Northridge., 2023)
    Few VR applications and games implement captioning of speech and audio cues, which either inhibits or prevents access of their application by deaf or hard of hearing (DHH) users, new language learners, and other caption ...
  • Evaluation of Anonymized Sign Language Videos Filtered Using MediaPipe 
    Luna, Andrew; Waller, James; Kushalnagar, Raja; Vogler, Christian (California State University, Northridge., 2023)
    This study investigates the feasibility of using MediaPipe to anonymize sign language videos. Recent research has developed techniques for anonymizing the identity of a signer in a video, while preserving the signed message. ...