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Healthcare Robot
- Main Goals
To develop a common robot S/W middleware for target healthcare robots (chair-bot, ride-bot, and lifecare-bot).
To design and implement an inference engine for body and emotional states based on several bio-signals.
To develop a communication framework to interface with a variety of bio-signal sensors such as ECG, temperature sensor, and blood pressure sensor, etc.
- System Overview
- Applied Bio-signals
Electrocardiogram (ECG), electroencephalogram (EEG)
Heart rate variability (HRV), galvanic skin response (GSR), photoplethysmogram (PPG)
Blood pressure, temperature, body fat
- Bio-signal Analysis
Time-domain analysis
Time series analysis
Frequency-domain analysis
Spectrum analysis
Coherence analysis
Sensor fusion
- Classification of Emotion States
Mehrabian and Russell’s PAD (pleasure, arousal, dominance) model
- Body and Emotion Inference
Emotion inference procedure
Learning models and algorithms for emotional state classification
Artificial neural networks (ANN)
Support vector machine (SVM)
- S/W Component Configuration
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