The HUME


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.

Interested?

Are you interested in implementing the HUME in your organization? We offer an operational contract and if preferred also a trial period. Please contact Eric Riegen for more information at: eric.riegen@mentechinnovation.eu or +31 40 209 4110.

At the moment, the HUME is not available for private use. At this stage, the guidance of a healthcare professional is required.



How does the HUME work?


The HUME consists of four main elements: two sensors, a device called the HUB and the dashboard. The two sensors measure physiological data such as a client’s skin conductance and heart rate. This is done with Mentech’s SentiSock and a chest strap sensor. The HUB is a mobile device that is connected to the sensors and transfers the measured signals to the HUME database. In the database in the cloud, the data is converted into stress-related information. The dashboard subsequently presents the client’s stress level for the caregiver to see.



The features

  • Early warning in case of escalation
    The HUME warns the caregiver in advance when stress builds up in a client. The caregiver can then intervene sooner and limit the consequences for himself or herself, but also for the client, such as self-mutilation.
  • Diagnostic function
    Measurements with the HUME help to investigate and better understand the cause of escalations or special behavior.
  • Effect measurement
    The HUME gives more insight into the effect of an intervention in approach, offer of activity, change in medication etcetera.
  • Warning of under alertedness
    The HUME keeps an eye on a client at any time, it also notices under alerdness. In case of too long periods of under-stimulation, the caregiver will be warned so that it will have no effect on day and night behavior.


Validation

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%.



Interested?

Are you interested in implementing the HUME in your organization? We offer an operational contract and if preferred also a trial period. Please contact Eric Riegen for more information at: eric.riegen@mentechinonvation.eu or +31 40 209 4110. Another option is to fill out the contact form on our website and we will get in touch with you.

At the moment, the HUME is not available for private use. At this stage, the guidance of a healthcare professional is required.

Contactform



Publications

  • Real-Time Arousal Detection Based on Skin Conductance and Heart Rate Features
  • Analysis of physiological signals for recognition of stress
  • Emotion sensing to improve quality of life of people with a mental disability

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