hcmlab/ssj
Social Signal Processing for Android
This framework helps researchers and app developers analyze human behavior and social interactions using data collected from mobile devices. It takes raw data from Android phone sensors (camera, microphone, accelerometer, GPS) and external Bluetooth sensors (like smart bands) to produce processed signals and insights about social cues. The primary users are researchers in human-computer interaction, psychology, and behavioral science who need to capture and analyze social signals in real-world or lab environments.
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Use this if you need to build Android apps that capture, process, and analyze social signals from various sensors, including machine learning models for behavioral insights.
Not ideal if your project does not involve Android development or mobile sensor data, or if you only need basic, pre-defined signal processing without custom pipelines.
Stars
32
Forks
12
Language
Java
License
GPL-3.0
Category
Last pushed
Sep 09, 2025
Commits (30d)
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