By leveraging five embedded sensors via the wristband, Feel collects these indicators and analyses them using cutting-edge methods of computer science.
Feel measures Electrodermal Responses (EDR) through a Galvanic Skin Response (GSR) sensor, as this has been shown to be a reliable emotion-related indicator. Heart Rate Variability (HRV) is measured through a photoplethysmogram (PPG) sensor that captures slight differences in heart rate as one lives through emotional experiences. Also an infrared Skin Temperature sensor catches differences in body temperature that have been shown to vary in a range of emotional states. Finally, the Inertial Measurement Unit (IMU) measures movement and activity to improve Feel's ability to detect and predict affective experiences. Advanced Artificial Intelligence (AI) and signal processing algorithms analyze vital signs and identify affective patterns.
Feel technology recognizes patterns and provides personalized interventions through:
Has multiple integrated bio-sensors that monitor a variety of physiological signals throughout the day (skin conductance, skin temperature, heart rate)
Has multiple integrated bio-sensors that monitor a variety of physiological signals throughout the day (skin conductance, skin temperature, heart rate)
Analyze the data collected from the sensors and recognize wearer’s emotional patterns
Provides personalized recommendations and real-time interventions based on Cognitive Behavioral Therapy
