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Virtual office assistant on Magic Mirror
Malmö högskola, Fakulteten för teknik och samhälle (TS).
Malmö högskola, Fakulteten för teknik och samhälle (TS).
2017 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
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.

sted, utgiver, år, opplag, sider
Malmö högskola/Teknik och samhälle , 2017. , s. 37
Emneord [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
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-20231Lokal ID: 23151OAI: oai:DiVA.org:mau-20231DiVA, id: diva2:1480103
Eksternt samarbeid
Jayway
Utdanningsprogram
TS Datateknik och mobil IT
Tilgjengelig fra: 2020-10-27 Laget: 2020-10-27 Sist oppdatert: 2022-06-27bibliografisk kontrollert

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