Human-Machine Interaction, Communication Initiation Probability Estimation - Communication initiation using Computer Vision, Machine Learning and Artificial Intelligence

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dc.contributor.authorHult, Carl-Henrik
dc.contributor.authorSchmidt, Joakim
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T14:54:40Z
dc.date.available2019-07-03T14:54:40Z
dc.date.issued2018
dc.description.abstractRobots and digital assistants today typically require the use of key words or phrases to activate them. In this paper we propose and implement a prototype for initiating conversations with robots in a more natural way. Measurements of three key indicators of conversation interest – eye contact, head pose and distance – are captured from a video stream and, using various techniques such as convolutional neural networks and 2d/3d projections, analyzed to estimate who, if any, is most interested in engaging in conversation. Through user tests, we gather and compile data to evaluate the validity of the approach, and the accuracy and performance of the implementation. It is our conclusion that this is a viable approach, with the potential to feel very natural to the users, although the prototype has a number of problems with regards to accuracy and performance.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/256062
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleHuman-Machine Interaction, Communication Initiation Probability Estimation - Communication initiation using Computer Vision, Machine Learning and Artificial Intelligence
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeInteraction design and technologies (MPIDE), MSc
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