Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

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GPS-Based Exposure to Greenness and Walkability and Accelerometry-Based Physical Activity

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“Spatial Energetics”

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Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting

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Modular and Personalized Smart Health Application Design in a Smart City Environment

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Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer Data

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Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology

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Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors

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Making pervasive sensing possible: Effective travel mode sensing based on smartphones

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Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults

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Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data

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Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes

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Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform

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Online Classification of Unstructured Free-Living Exercise Sessions in People with Type 1 Diabetes

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Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning

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A Modular Approach to Context-Aware IoT Applications

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The relationship between Mediterranean built environment and outdoor physical activity: evidence from GPS and accelerometer data among young adults in Barcelona

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A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity

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Associations of Physical Activity and Sedentary Behavior with Optimism and Positive Affect in Older Women

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Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol

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