Layer 1 – Physical Signals
Layer 1 is the foundation of the conceptual model.
It deals with the raw data captured by physical sensors and their preprocessing into virtual sensors — representations ready for higher-level analysis.
Key Concepts
A virtual sensor is a combination of:
- One or more physical sensors (e.g., MoCap, accelerometer, Kinect, respiration band).
- Signal conditioning (denoising, filtering, synchronization).
- Feature-specific extraction (e.g., 3D joint trajectories, silhouettes, barycenter).
Examples of Physical & Virtual Sensors
| Virtual Sensor / Signal | Description | Implemented |
|---|---|---|
| Kinematic | 3D joint positions, trajectories, barycenter | |
| Optical | Silhouette, RGB-D images, depth maps | |
| Inertial | Accelerometers, gyroscopes | |
| Physiological | EMG, EEG, ECG, respiration | |
| Pressure or Contact | Ground reaction force, foot weight distribution | |
| Acoustic | Breath, utterance, exhalation |