Healthcare Robot
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.
Electrocardiogram (ECG), electroencephalogram (EEG)
Heart rate variability (HRV), galvanic skin response (GSR), photoplethysmogram (PPG)
Blood pressure, temperature, body fat
Time-domain analysis
Time series analysis
Frequency-domain analysis
Spectrum analysis
Coherence analysis
Sensor fusion
Mehrabian and Russell’s PAD (pleasure, arousal, dominance) model
Emotion inference procedure
Learning models and algorithms for emotional state classification
Artificial neural networks (ANN)
Support vector machine (SVM)