GPS Driving: A Digital Biomarker for Preclinical Alzheimer Disease

Sayeh Bayat, Ganesh M. Babulal, Suzanne E. Schindler, Anne M. Fagan, John C. Morris, Alex Mihailidis, Catherine M. Roe

Alzheimer's Research & Therapy 2021

We applied machine learning methods to a large dataset of GPS driving trajectories from a cohort of cognitively intact older drivers with and without preclinical AD. Our findings suggest that driving may serve as an effective and accurate digital biomarker for identifying preclinical AD among older adults. 


Outdoor Life in Dementia: How predictable are people with dementia in their mobility?

Sayeh Bayat and Alex Mihailidis.

Alzheimer's & Dementia: DADM 2021

Aiming to better capture the essence of mobility of people with dementia, we analyze the randomness and predictability manifested in their GPS trajectories. We find that relying on both spatial and temporal patterns,  a 4-week record of mobility patterns of people with dementia displays 95% potential predictability.



A GPS-based Framework for Understanding Outdoor Mobility Patterns of Older Adults with Dementia: An Exploratory Study

Sayeh Bayat, Gary Naglie, Mark Rapoport, Elaine Stasiulis, Michael J Widener and Alex Mihailidis.


We develop a comprehensive framework for comparing outdoor mobility patterns of cognitively intact older adults and older adults with dementia using passively collected GPS data.



Bringing the ‘Place’ to Life Space in Gerontology Research

Sayeh Bayat, Michael J Widener and Alex Mihailidis.


We discuss new directions for extending the life-space framework in environmental gerontology by drawing on the advancements in the activity space framework in travel behaviour and health geography literature.



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

Sayeh Bayat, Gary Naglie, Mark Rapoport, Elaine Stasiulis, Belkacem Chikhaoui and Alex Mihailidis.


We develop and validate a framework that relies solely on GPS data to capture older adults’ travel destinations (ie, stop points) and activity types. We show that GPS technology can be used to extend the traditional life-space assessments by accurately determining semantic dimensions of outdoor mobility.



A High-Performance Millirobot for Swarm-Behaviour Studies: Swarm-Topology Estimation

Justin Y Kim, Zendai Kashino, Laura Marcela Pineros, Sayeh Bayat, Tyler Colaco, Goldie Nejat, Beno Benhabib

IJARS 2019

We present a novel high-performance millirobot ( milli- robot- Toronto), designed to allow for the testing of complex swarm-behaviours, including human–swarm interaction. As complementary software to this hardware development, we also present a new global swarm-topology estimation algorithm.