Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Visuri, A. (Aku)"'
Autor:
Visuri, A. (Aku)
This thesis explores different ways of leveraging mobile sensing to understand how end users use and interact with their smart technologies, namely smartphones and smartwatches. These topics are extensively explored in other parallel research; howeve
Externí odkaz:
http://urn.fi/urn:isbn:9789526222714
Autor:
Visuri, A. (Aku)
Mobile devices are increasingly used for self-monitoring in areas of health, mood, and exercise tracking. The capabilities of modern devices also enable automation of this monitoring on a brand new scale. This thesis outlines the design, implementati
Externí odkaz:
http://urn.fi/URN:NBN:fi:oulu-201609142777
Autor:
Visuri, A. (Aku)
AWARE is a mobile instrumentation framework for Android devices that focuses on users, researchers and application developers. In this paper we introduce AWARE’s web services (AWARE-WS), a multipurpose dashboard for science. AWARE-WS allows researc
Externí odkaz:
http://urn.fi/URN:NBN:fi:oulu-201605131728
AWARE is a mobile instrumentation framework for Android devices that focuses on users, researchers and application developers. In this paper we introduce AWARE’s web services (AWARE-WS), a multipurpose dashboard for science. AWARE-WS allows researc
Externí odkaz:
http://urn.fi/URN:NBN:fi:oulu-201503211187
Autor:
Peltonen, E. (Ella), Sharmila, P. (Parsa), Kuosmanen, E. (Elina), Koskimäki, H. (Heli), Visuri, A. (Aku)
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Smartphones are an integral part of our daily life, bringing both positive and negative impacts with them. Recent studies suggest that extensive and untimely smartphone usage directly affects circadian rhythm, i.e. alertness-sleepiness cycle. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2371e80e40cd5f6824db49fd23216434
https://doi.org/10.1109/percomworkshops53856.2022.9767352
https://doi.org/10.1109/percomworkshops53856.2022.9767352
Background: Chronic pain is a prolonged condition that deteriorates one’s quality of life. Treating chronic pain requires a multicomponent approach, and in many cases, there are no “silver bullet” solutions. Mobile health (mHealth) is a rapidly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2a9eeb1ae1ebab344478e25217f31781
http://urn.fi/urn:nbn:fi-fe2023060151547
http://urn.fi/urn:nbn:fi-fe2023060151547
In this research, we explore and measure situated empathy. We focus on the hardships of an international community in a foreign country using a virtual reality experiment. Our aim is to facilitate a better understanding of an international community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::f24c3d3e237e9fab522c4400d98b5cab
http://urn.fi/urn:nbn:fi-fe2022101161610
http://urn.fi/urn:nbn:fi-fe2022101161610
Autor:
Kuosmanen, E. (Elina), Visuri, A. (Aku), Kheirinejad, S. (Saba), van Berkel, N. (Niels), Koskimäki, H. (Heli), Ferreira, D. (Denzil), Hosio, S. (Simo)
A new generation of wearable devices now enable end-users to keep track of their sleep patterns. This paper reports on a longitudinal study of 82 participants who used a state-of-the-art sleep tracking ring for an average of 65 days. We conducted int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::cbc9fbe4acf943aed91581869f3aee58
http://urn.fi/urn:nbn:fi-fe2023040334705
http://urn.fi/urn:nbn:fi-fe2023040334705
Sleep tracking has been rapidly developing alongside wearable technologies and digital trackers are increasingly being used in research, replacing diaries and other more laborious methods. In this work, we describe the user expectations and experienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::40507cfe7ece3637e9280fb4627ed4e4
http://urn.fi/urn:nbn:fi-fe2023030730516
http://urn.fi/urn:nbn:fi-fe2023030730516
Research on mobile sensing for mental health monitoring has traditionally explored the correlation between smartphone and wearable data with self-reported mental health symptom severity assessments. The effectiveness of predictive techniques to monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::ae6688f969e7c24d3409fe7b7c62fc81
http://urn.fi/urn:nbn:fi-fe2022092159802
http://urn.fi/urn:nbn:fi-fe2022092159802