Published on in Vol 3, No 2 (2020): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18008, first published .
Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation

Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation

Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation

Journals

  1. Bayat S, Mihailidis A. Outdoor life in dementia: How predictable are people with dementia in their mobility?. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2021;13(1) View
  2. Cullen A, Mazhar M, Smith M, Lithander F, Ó Breasail M, Henderson E. Wearable and Portable GPS Solutions for Monitoring Mobility in Dementia: A Systematic Review. Sensors 2022;22(9):3336 View
  3. Bayat S, Naglie G, Rapoport M, Stasiulis E, Widener M, Mihailidis A. A GPS-Based Framework for Understanding Outdoor Mobility Patterns of Older Adults with Dementia: An Exploratory Study. Gerontology 2022;68(1):106 View
  4. Verma R, Mittal S, Lei Z, Chen X, Ukkusuri S. Comparison of home detection algorithms using smartphone GPS data. EPJ Data Science 2024;13(1) View
  5. Saniger A, López D, Delón C, Ruiz O. Mobile data for studying public space, and trips in Mexico City: a study case of six suburban zones. Data & Policy 2024;6 View
  6. Hashida K, Drattell J, Lynall R, Devos H, Gore R, Schmidt J. Examination of naturalistic driving behavior and risk events across concussion recovery. Transportation Research Part F: Traffic Psychology and Behaviour 2025;111:211 View

Conference Proceedings

  1. Fan X, Li G, Lin Z, Hu Y, Liu Y, Jiang T, Yin Z, Qian F, Wang S, Chan S. Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. Experiences of Deploying a Citywide Crowdsourcing Platform to Search for Missing People with Dementia View