---
tags:
- Body Language Recognition
- Video Behavior Analysis
- Affective Computing
- Creative Studio
- Team Collaboration Analysis
- Non-verbal Communication Research
license: cc-by-nc-sa-4.0
task_categories:
- video-classification
language:
- en
pretty_name: Creative Design Studio Interaction Body Language Recognition Video Dataset
size_categories:
- 1B<n<10B
---

# Creative Design Studio Interaction Body Language Recognition Video Dataset

In today&#039;s creative design industry, understanding the complex non-verbal communication among team members is crucial. However, existing body language recognition methods perform limitedly in dense interactive environments, struggling to accurately interpret subtle body movements and postures. This video dataset aims to tackle the technical challenges of body language analysis in creative discussions, enhancing recognition algorithms&#039; accuracy through high-quality video samples. The dataset is collected using HD camera equipment in real design studio environments, recording natural and unobstructed team interaction scenarios. Quality control includes multiple rounds of stringent annotation and consistency checks, reviewed by experienced behavior analysis experts. The annotation team comprises professionals from the fields of computer vision and behavioral psychology, encompassing 30 members. Preprocessing steps involve denoising images, extracting keyframes, and annotating action sequences, with data ultimately stored in a structured MP4 format for easy researcher retrieval and analysis. The dataset boasts excellent data quality, with action annotation accuracy reaching 95% per frame, significantly surpassing similar datasets in consistency and completeness. It employs innovative multimodal annotation methods and data augmentation techniques to aid in developing more robust behavior analysis models. It addresses the industry issue of inadequate recognition accuracy, significantly enhancing team collaboration efficiency. Comparatively, this dataset features unique scene richness and contextual diversity, with its diversity and scarcity making it highly valuable for research. Also, the data&#039;s organization and structure provide high versatility and scalability in different research directions, supporting a wider range of application scenarios. 

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| gesture_type | string | The types of gestures identified in the video, such as waving, pointing, etc. |
| expression_type | string | The types of facial expressions displayed in the video, such as smiling, frowning, etc. |
| participant_count | integer | The total number of people participating in the discussion in the video. |
| dominant_gesture | string | The gesture most frequently used in the video. |
| interaction_density | float | The frequency of interactive behaviors in the video. |
| mood_level | string | The group emotional state inferred from body language, such as positive, negative, neutral. |
| speaking_turns | integer | The total number of turns participants take speaking in the video. |
| proxemics_type | string | The types of interaction distances between participants, such as intimate, social distances, etc. |
| body_orientation | string | The orientation of participants' bodies in the video, such as facing or sideways to others. |
| eye_contact_frequency | float | The frequency of eye contact between participants. |

## Compliance Statement

<table>
  <tr>
    <td>Authorization Type</td>
    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
  </tr>
  <tr>
    <td>Commercial Use</td>
    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
  </tr>
  <tr>
    <td>Privacy and Anonymization</td>
    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
  </tr>
  <tr>
    <td>Compliance System</td>
    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
  </tr>
</table>

## Source & Contact

If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/aa804198deea569818ec0f8190cb05a7?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com