Published on in Vol 8, No 2 (2021): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28020, first published .
Integrating Behavior of Children with Profound Intellectual, Multiple, or Severe Motor Disabilities With Location and Environment Data Sensors for Independent Communication and Mobility: App Development and Pilot Testing

Integrating Behavior of Children with Profound Intellectual, Multiple, or Severe Motor Disabilities With Location and Environment Data Sensors for Independent Communication and Mobility: App Development and Pilot Testing

Integrating Behavior of Children with Profound Intellectual, Multiple, or Severe Motor Disabilities With Location and Environment Data Sensors for Independent Communication and Mobility: App Development and Pilot Testing

Journals

  1. Herbuela V, Karita T, Furukawa Y, Wada Y, Toya A, Senba S, Onishi E, Saeki T, Kakulapati V. Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data features. PLOS ONE 2022;17(6):e0269472 View
  2. Zhong J, He B, Geng C. Development of Electric Power Networks Inspection Information Management System Based on MapWorld API. Frontiers in Computing and Intelligent Systems 2023;3(1):13 View
  3. Herbuela V, Karita T, Toya A, Furukawa Y, Senba S, Onishi E, Saeki T. Multilevel and general linear modeling of weather and time effects on the emotional and behavioral states of children with profound intellectual and multiple disabilities. Frontiers in Psychiatry 2024;14 View
  4. Teixeira P, Eusébio C, Teixeira L. Understanding the integration of accessibility requirements in the development process of information systems: a systematic literature review. Requirements Engineering 2024;29(2):143 View