GPS-Based Daily Context Recognition for Lifelog Generation Using Smartphone

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Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study (Preprint)

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Lifelog Retrieval From Daily Digital Data: Narrative Review

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Sensor - Based Human Activity Recognition Using Smartphones

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Feature-First Add-On for Trajectory Simplification in Lifelog Applications

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Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI

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Estimation of Human Movement State by Smartphone Sensor Information without GPS

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Investigation of Context-aware System Using Activity Recognition

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Classroom study of GNSS position accuracy using smartphones

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Establishing a Real-time Precise Point Positioning Early Warning System

Qafisheh, M. W. A. (2024) · doi:10.4995/thesis/10251/206740

Cognitive Liberty, Privacy, and Extended Perception

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GPS-Based Daily Context Recognition for Lifelog Generation Using Smartphone Go Tanaka

Okada, M. (2015)

Beyond Where to How: A Machine Learning Approach for Sensing Mobility Contexts Using Smartphone Sensors

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User context recognition using smartphone sensors and classification models

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Inferring Human Activity in Mobile Devices by Computing Multiple Contexts

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Design of a machine learning based mobile application with GPS, mobile sensors, public GIS : real time prediction on personal daily routes

Shin, H. (2018) · International journal of advanced smart convergence