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• WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education

  Hui Zheng, Pattiya Mahapasuthanon, Yujing Chen, Huzefa Rangwala, Anya S Evmenova, Vivian Genaro Motti · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This paper introduces WLA4ND (Wearable Learning Activities for Neurodiversity), the first wearable sensor dataset of learning activities collected from young adults with neurodiversity. While existing wearable sensor datasets focus on fitness, daily living, and locomotion…

  neurodiversity · wearable technology · machine learning · activity recognition · inclusive education

• Activity Recognition in Older Adults with Training Data from Younger Adults: Preliminary Results on in Vivo Smartwatch Sensor Data

  Sabahat Fatima · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This extended abstract investigates a critical age-related bias in wearable activity recognition: models trained on data from younger adults perform significantly worse when applied to older adults. The study is motivated by the growing potential of smartwatch-based…

  older adults · activity recognition · machine learning · wearable technology · smartwatch

• Exploring the Data Tracking and Sharing Preferences of Wheelchair Athletes

  Patrick Carrington, Gierad Laput, Jeffrey P. Bigham · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  This paper explores how wheelchair basketball players want to use and share automatically tracked performance data, using a prototype sensor device as a discussion probe. The researchers interviewed 15 wheelchair basketball players (mean age 33, 1 female, 3 who also coached)…

  wheelchair accessibility · adaptive sports · fitness tracking · data privacy · wearable technology

• Verification of Daily Activities of Older Adults: A Simple, Non-Intrusive, Low-Cost Approach

  Loïc Caroux, Charles Consel, Lucile Dupuy, Hélène Sauzéon · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS)

  This paper presents a sensor-based approach to verifying whether older adults perform their daily activities at home, with the goal of supporting aging in place and informing caregiver decisions. The key conceptual distinction is between activity verification and activity…

  aging · activities of daily living · activity recognition · smart home · sensors

• Real-Time Crowd Labeling for Deployable Activity Recognition

  Walter S. Lasecki, Young Chol Song, Henry Kautz, Jeffrey P. Bigham · 2013 · Proceedings of the 2013 Conference on Computer Supported Cooperative Work (CSCW 2013)

  Legion:AR is a system that provides deployable activity recognition by combining real-time crowd labeling with automatic recognition using Hidden Markov Models (HMMs). The system addresses a critical limitation of current activity recognition: automated systems must be trained…

  activity recognition · crowdsourcing · human computation · machine learning · aging in place

5 results.