The SENSAURA API lets you retrieve the user’s emotion from any supported wearable device, empowering you to create a new breed of smarter and more personalized app. Use our API to build real-time emotion based applications leveraging a variety of sensor data including the user’s location, date and time, biometric sensor data and much more!
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State-of-the-art Emotion Recognition Technology
Over Five Years of Scientific Research
Our five year scientific research combine with our highly qualified Technical Advisors helped us offering you state-of-the-art emotion recognition technology for your mobile applications by communicating with wearable devices and map the biosignals to the appropriate emotion response on a continuous basis.
The Research Behind the Technology
HRV Analysis Technique
The heart rate involves emotional cues. Generally, heart rate information is useful to differentiate between positive and negative emotions. Heart rate variability (HRV) refers to the oscillation of heart rate and has been used as an indication of mental effort and stress in adults. We also extract emotional cues from time-frquency analysis of HRV.
GSR Analysis Technique
Galvanic skin response (GSR) measures the electrical resistance changes of the skin due to variations in perspiration rate. Therefore, GSR signal involves information of sweat glands that are controlled by the sympathetic nervous system, and hence the signal contains information about the emotion of the users. Particularly, GSR values decrease due to an increase of perspiration, which usually occurs when the user is experiencing stress or surprise. For affect analysis, we extract linear and nonlinear information from time-frequency analysis of the signal over low (0-0.2 Hz) frequency component.