Designing a Secure and Resilient Distributed Smartphone Participant Data Collection System
Foad Namjoo, Neng Wan, Devan Mallory, Yuyi Chang, Nithin Sugavanam, Long Yin Lee, Ning Xiong, Emre Ertin, and Jeff M. Phillips

TL;DR
MotionPI is a comprehensive smartphone-based system that securely collects behavioral and health data through passive sensors and surveys, addressing real-world constraints like limited battery and connectivity for health studies.
Contribution
The paper introduces MotionPI, a novel system integrating passive sensor data and EMA surveys with security and resilience features for mobile health data collection.
Findings
Successfully collects data under real-life constraints
Ensures data security with encryption and secure storage
Integrates passive sensors with survey triggers effectively
Abstract
Real-world health studies require continuous and secure data collection from mobile and wearable devices. We introduce MotionPI, a smartphone-based system designed to collect behavioral and health data through sensors and surveys with minimal interaction from participants. The system integrates passive data collection (such as GPS and wristband motion data) with Ecological Momentary Assessment (EMA) surveys, which can be triggered randomly or based on physical activity. MotionPI is designed to work under real-life constraints, including limited battery life, weak or intermittent cellular connection, and minimal user supervision. It stores data both locally and on a secure cloud server, with encrypted transmission and storage. It integrates through Bluetooth Low Energy (BLE) into wristband devices that store raw data and communicate motion summaries and trigger events. MotionPI…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBluetooth and Wireless Communication Technologies · Context-Aware Activity Recognition Systems · Human Mobility and Location-Based Analysis
