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Virtual office assistant on Magic Mirror
Malmö högskola, Faculty of Technology and Society (TS).
Malmö högskola, Faculty of Technology and Society (TS).
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
Malmö högskola/Teknik och samhälle , 2017. , p. 37
Keywords [en]
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
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-20231Local ID: 23151OAI: oai:DiVA.org:mau-20231DiVA, id: diva2:1480103
External cooperation
Jayway
Educational program
TS Datateknik och mobil IT
Available from: 2020-10-27 Created: 2020-10-27 Last updated: 2022-06-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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