sbelharbi/bah-dataset
Pytorch code for "BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change"
This project offers a specialized video dataset to help researchers and practitioners develop automated tools for recognizing 'ambivalence and hesitancy' in individuals. It takes video recordings of people discussing health behaviors and provides detailed annotations of when and how ambivalence or hesitancy appears through facial expressions, body language, and voice. Health psychologists, behavioral scientists, and digital health intervention designers would use this to build more personalized and effective support systems.
Use this if you are a researcher or academic institution focused on building machine learning models to automatically detect subtle signs of emotional ambivalence or hesitancy from video data.
Not ideal if you are looking for an off-the-shelf tool to analyze real-time patient interactions, as this is a dataset for model development, not a ready-to-use application.
Stars
10
Forks
2
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 03, 2026
Commits (30d)
0
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