UNIGE document Doctoral Thesis
previous document  unige:130751  next document
add to browser collection

Enhancing wellbeing using artificial intelligence techniques

Defense Thèse de doctorat : Univ. Genève, 2019 - GSEM 75 - 2019/12/19
Abstract The landscape of technology is rapidly evolving, and its pace of growth is not slowing down. During the last decades, and especially after the mass adoption of the internet, new technological advances have revolutionized every aspect of human life. We are living in the ubiquitous computing era, where connected devices form the internet of things and produce data faster than we can logically process. The goal of this thesis is to propose new algorithms, methodologies, and applications that can be used as components in health and wellbeing systems that support healthy aging, enhance human-machine interactions, and support postoperative rehabilitation with the use of machine learning techniques.
Keywords Abnormality detectionActive assisted livingActivity recognitionAmbient assisted livingBluetoothBluetooth low energyDeep learningEHealthFeature extractionHealth informaticsIndoor localizationIndoor positioningMachine learningMHealthMobile applicationsMobile devicesNeural networksPattern recognitionPostoperative rehabilitationRoom-level accuracyRSSISenior citizensSmart devicesSmartphonesSmartwatchesStress detectionSurveyUser requirementsWearable computersWearable sensors
URN: urn:nbn:ch:unige-1307511
Full text
Thesis (6.7 MB) - public document Free access
(ISO format)
KYRITSIS, Athanasios. Enhancing wellbeing using artificial intelligence techniques. Université de Genève. Thèse, 2019. doi: 10.13097/archive-ouverte/unige:130751 https://archive-ouverte.unige.ch/unige:130751

330 hits



Deposited on : 2020-02-17

Export document
Format :
Citation style :