Virtual office assistant on Magic Mirror

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Virtual office assistant on Magic Mirror

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Publication Bachelor thesis
Title Virtual office assistant on Magic Mirror
Author Tran, David ; Böcker, Jonathan
Date 2017
English abstract
Every second, major companies such as Google, Apple, Amazon and Microsoft are col- lecting a great amount of data from users. Photos, voice and texts etc. are stored in the companies massive server parks. With this amount of data, along with technical benefits such as computing power and exceeding algorithms, the companies can train their ma- chine learning models to levels which is hard for a local computing landscape to reach up to. Nowadays, the companies allow developers to use their services and this paper proclaims the benefits of using these. The aim for this thesis is to show how cloud based face recognition and speech recognition can be utilized to create a virtual assistant in Magic Mirror. This new concept opens new possibilities for human-computer interaction. The use case for the assistant was to aid visitors who comes into an office for an appointment with an employee. The prototype of the assistant showed 94% accuracy when identifying faces and fulfilled the task well when the employee name was internationally known, while having difficulties with others, e.g. Swedish names.
Publisher Malmö högskola/Teknik och samhälle
Pages 37
Language eng (iso)
Subject machine learning
user experience
magic mirror
rest services
computer vision
face recognition
face detection
speech recognition
natural language processing
artificial intelligence
cloud computing
perceptual user interface
Handle http://hdl.handle.net/2043/23151 Permalink to this page
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