Tactile interface to support everyday conversations

What’s it about?

Everyday conversation use a multitude of channels of communication. People with impaired recognition, e.g. Vision, are disadvantaged by this in the interpretation of a communication situation, as they have no access to visual non-verbal information, such as facial expressions. This can lead to a situation where a communication situation is analysed only to a limited extent.

The research professor for socio-informatics at FHWS is working on a solution to this. The aim is to support the communication situation by an interface which recognises emotions, transforms them into tactile stimuli and transmits them with the help of a vibrating glove. The solution is based on a coding system for facial muscle movements and is a common standard for detecting emotions based on facial expressions. A new feature is the transmission of essential information via a vibrating glove. In this way, an impaired speaker can be given the facial expressions of the listener during his or her own speech act.

The video shows the solution developed by Anna Kushnir and explains the technology behind it.

Publications

 

 

Who’s involved?

Anna Kushnir, 3rd semester of the Information Systems Master’s

Supervised by: Prof. Dr. Nicholas Müller