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readme.md

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+## Video clip name
+Each video clip is named as videoX_Y_personZ, which means it is the Yth clip of the Zth subject from coaching session X.
+
+## Openface
+We extract the second level features from [OpenFace](https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation). The extracted files are stored under "secondfeature/videoX_Y_personZ.csv". These features include:
+
+- **Gaze Direction and Angles**  
+  - Three coordinates to describe the gaze direction of left and right eyes respectively  
+  - Two scalars to describe the horizontal and vertical gaze angles  
+
+- **Head Position**  
+  - Three coordinates to describe the location of the head relative to the camera  
+
+- **Head Rotation**  
+  - Rotation of the head described with pitch, yaw, and roll  
+
+- **Facial Action Units (AUs)**  
+  - Intensities of 17 AUs represented as scalars  
+  - Presence of 18 AUs represented as scalars  
+
+## I3D
+We use the [I3D Repository](https://github.com/v-iashin/video_features) to extract the I3D vectors. One I3D vector is extracted for each clip. The features are stored in "final_data_1.json".
+
+## Acoustics
+We use [ParselMouth](https://github.com/YannickJadoul/Parselmouth) to extract the acoustics features. They are stored in "label_results_w_audio_final.json". We also calculate the high level features such as the percentage of high/low volume, high/low pitch, and std of volume/pitch. These are stored in "new_bert_ac_dict.json".
+
+## Narrations
+We collect the narrations from the Live Transcript functions in Zoom. They are stored in "label_results_w_audio_final.json". We also extract the bert features from the narrations and store them in "new_bert_ac_dict.json".
+
+## Data split
+Split information can be found in "final_data_1.json". Note that "split" should be one of "train", "unlabel", and "test". We use "unlabel" for validation purposes.
+