The HUME is an emotion recognition platform based on sensors, behavioral models and machine learning. The sensors measure physiological characteristics such as heart rate, skin conduction and activity. This information is converted into usable information in the HUME database by means of behavioral models. The HUME database is populated by a group of respondents we analyzed in our HUME lab.
We have done measurements at more than 10 care institutions during the HUME pilot study. All these partners can be found below. During these pilot studies we have validated our models. Through machine learning and personalization these models can perform even better, giving HUME an accuracy of >80%.