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README.md

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+pretty_name: ConfiDetect Confidence Posture Dataset
 license: mit
+language:
+  - all   
+task_categories:
+  - tabular-classification
+tags:
+  - computer-vision
+  - pose-estimation
+  - human-behavior
+  - mediapipe
+  - affective-computing
+  - machine-learning
+  - confidence-detection
+size_categories:
+  - 1K<n<10K
 ---
+
+
+# 🧍‍♂️ ConfiDetect Confidence Posture Dataset
+
+### Subtitle
+**Pose-based Confidence Estimation Dataset for Behavioral and Affective Computing**
+
+---
+
+## 📘 Overview
+
+The **ConfiDetect Confidence Posture Dataset** contains normalized geometric and ratio-based features extracted from human posture and facial keypoints to classify **confidence levels** — *Low*, *Neutral*, and *Confident*.
+
+This dataset was created as part of the **ConfiDetect Tool**, designed to evaluate human confidence through pose and body-language cues using computer vision.
+  
+---
+
+## 🧩 Dataset Information
+
+- **Total Samples:** 5,950  
+- **Features:** 18 (15 numeric + 3 categorical)  
+- **Target Classes:** Low, Neutral, High Confidence  
+- **Format:** CSV  
+- **Normalization:** Min–Max scaling applied  
+- **Class Balance:** 53% High, 28% Neutral, 19% Low     
+
+---
+
+## 🧠 Methodology (Concise)
+
+1. **Data Collection:**  
+   Real human video recorded for confidence behavior analysis.
+
+2. **Pose Extraction:**  
+   MediaPipe Holistic model used to extract body and facial landmarks.
+
+3. **Feature Engineering:**  
+   Computation of geometric ratios and angles such as eye-to-shoulder ratio, hip-shoulder difference, body lean, spine angle, and head tilt.
+
+4. **Label Assignment:**  
+   Rule-based labeling (posture and facial cues) with human validation.
+
+5. **Normalization:**  
+   All numeric attributes normalized for ML model compatibility.
+
+---
+
+## 📁 File Description
+
+| Column Name | Type | Description |
+|--------------|------|-------------|
+| eye_shoulder_y_ratio | float | Ratio between eye and shoulder Y-axis positions |
+| shoulder_y_diff | float | Shoulder height difference |
+| wrist_distance_x | float | Horizontal distance between wrists |
+| wrist_shoulder_ratio | float | Wrist distance normalized by shoulder span |
+| nose_eye_center_offset_x | float | Horizontal offset of nose from eye center |
+| shoulder_span | float | Distance between left and right shoulders |
+| hip_shoulder_y_diff | float | Difference between hip and shoulder alignment |
+| body_lean_x | float | Forward/backward lean of upper body |
+| shoulder_center_x | float | X-coordinate of shoulder midpoint |
+| hip_center_x | float | X-coordinate of hip midpoint |
+| spine_angle | float | Vertical spine inclination angle |
+| eye_distance | float | Distance between eyes |
+| head_tilt_angle | float | Head tilt angle in degrees |
+| eye_distance_ratio | float | Normalized eye distance ratio |
+| shoulder_slope | float | Slope between shoulders |
+| head_direction | object | Head orientation (Left, Right, Straight) |
+| arm_position | object | Arm posture (Open, Closed, Partially Open) |
+| posture | object | Overall body posture description |
+| confidence_label | object | Target class: Low, Neutral, High |
+
+---
+
+## 🧮 Suggested Use
+
+- **Confidence Estimation Models**
+- **Behavioral Analysis**
+- **Affective Computing**
+- **Body-Language Recognition**
+- **Human-Computer Interaction Research**
+
+---
+
+## 📊 Example Tasks
+
+- Train classifiers (e.g., Random Forest, XGBoost, or SVM) to predict confidence.  
+- Build pose-based deep learning models with feature fusion.  
+- Evaluate correlations between physical posture and perceived confidence.
+
+---
+
+## 📜 Citation
+
+```
+Khubaib (2025). ConfiDetect-Confidence-Posture-Dataset: Pose-based Confidence Estimation using MediaPipe Features. Hugging Face.
+```
+
+---
+
+## 🧾 License
+
+**MIT License** — free for research and educational use.