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• Stress Detection of Autistic Adults during Simulated Job Interviews Using a Novel Physiological Dataset and Machine Learning

  Miroslava Migovich, Deeksha Adiani, Michael Breen, Amy Swanson, Timothy J. Vogus, Nilanjan Sarkar · 2024 · ACM Transactions on Accessible Computing

  This research addresses the significant employment barriers faced by autistic adults, with job interviews identified as a primary obstacle. The researchers developed a physiological stress detection system integrated with CIRVR (Career Interview Readiness in Virtual Reality), a…

  autism · employment · job interview · physiological sensing · affective computing

• How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture Interfaces

  Momona Yamagami, Alexandra A Portnova-Fahreeva, Junhan Kong, Jacob O. Wobbrock, Jennifer Mankoff · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

  This study investigates how people with upper-body motor impairments design personalized gestures for common device functions like move, select, zoom-in, open, and delete. The researchers recruited 25 participants with conditions including spinal cord injury (13), muscular…

  motor impairments · gesture input · personalization · wearable sensors · electromyography

• Analyzing Walking with Ankle Foot Orthoses Using Shank-mounted Wearable Movement Sensors

  Cliona Blackwell · 2023 · ASSETS 2023: The 25th International ACM SIGACCESS Conference on Computers and Accessibility

  This extended abstract investigates using Inertial Measurement Units (IMUs) mounted on the shank (lower leg) to provide quantitative gait analysis for clinicians tuning Ankle Foot Orthoses (AFOs). AFOs are orthotic devices that encompass the ankle joint and foot to improve gait…

  ankle foot orthosis · gait analysis · inertial measurement unit · wearable sensors · biomechanics

• MANA: Designing and Validating a User-Centered Mobility Analysis System

  Boyd Anderson, Shenggao Zhu, Ke Yang, Jian Wang, Hugh Anderson, Chao Xu Tay, Vincent Y. F. Tan, Ye Wang · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  This paper presents MANA (Mobility ANAlytics), a wearable sensor system designed to measure gait parameters in people with Parkinson's Disease (PD) in clinical and home settings. The system addresses a significant gap in accessible health monitoring: existing gait analysis…

  Parkinson's disease · wearable sensors · gait analysis · inertial measurement units · mobility assessment

• Skin Conductance as an In Situ Marker for Emotional Arousal in Children with Neurodevelopmental Communication Impairments: Methodological Considerations and Clinical Implications

  Mariana Aparicio Betancourt, Laura S. Dethorne, Karrie Karahalios, Jennifer G. Kim · 2017 · ACM Transactions on Accessible Computing

  This paper explores the use of wearable biosensors to measure electrodermal activity (EDA) — specifically skin conductance — as a proxy for emotional arousal in children with neurodevelopmental communication impairments. While EDA has been used in psychological research for over…

  electrodermal activity · wearable sensors · emotional arousal · autism · neurodevelopmental disorders

• Understanding the Challenges and Opportunities for Richer Descriptions of Stereotypical Behaviors of Children with ASD: A Concept Exploration and Validation

  Fnu Nazneen, Fatima A. Boujarwah, Shone Sadler, Amha Mogus, Gregory D. Abowd, Rosa I. Arriaga · 2010 · Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2010)

  This paper from Georgia Institute of Technology explores the concept of a wearable sensor system that can tacitly collect contextual data — physiological state, environmental conditions, and location — and map it to occurrences of stereotypical behaviours in children with autism…

  autism spectrum disorder · stereotypical behavior · wearable sensors · physiological sensing · participatory design

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