Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
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Updated
May 14, 2024 - Python
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
An iOS framework that provides Mobile Sensing to your apps.
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
Code for "Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning", ACM ToSN
A lite BERT-like representation model for IMU sensor data
Crowdsensing urban data in Africa
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Improving Human Activity Recognition through Self-training with Unlabeled Data
Contrastive Learning (SimCLR) for Human Activity Recognition
모바일 시스템 프로그래밍 (센싱)
An Android framework that provides Mobile Sensing to your apps.
Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The algorithm tries to detect the source(s) of radiation with some robots in the monitoring fields. Each robot has a sensor mounted to detect the radiation concentration. T…
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