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pro vyhledávání: '"Lauri Tuovinen"'
Autor:
Lauri Tuovinen, Alan F Smeaton
Publikováno v:
PLoS ONE, Vol 17, Iss 4, p e0265997 (2022)
Personal wellness data collected using wearable devices is a valuable resource, potentially containing knowledge that goes beyond what the device and its the associated software application can tell the user. However, extracting such knowledge from t
Externí odkaz:
https://doaj.org/article/b8c0b1cb16bb48bfbb32eed49836ad25
Autor:
Lauri Tuovinen, Alan F. Smeaton
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 324-332 (2019)
Wearable self-tracking devices are an increasingly popular way for people to collect information relevant to their own health and well-being, but maximising the benefits derived from such information is hindered by the complexity of analysing it. To
Externí odkaz:
https://doaj.org/article/65f81d5354c44fbfa91fd9b855666180
Autor:
Lauri Tuovinen, Alan F. Smeaton
Publikováno v:
Tuovinen, Lauri ORCID: 0000-0002-7916-0255 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2022) Privacy-aware sharing and collaborative analysis of personal wellness data: Process model, domain ontology, software system and user trial. PLoS ONE, 17 (4). ISSN 1932-6203
Personal wellness data collected using wearable devices is a valuable resource, potentially containing knowledge that goes beyond what the device and its the associated software application can tell the user. However, extracting such knowledge from t
Autor:
Lauri Tuovinen, Jaakko Suutala
Publikováno v:
KEOD
Autor:
Lauri Tuovinen, Alan F. Smeaton
Publikováno v:
CEC
Tuovinen, Lauri ORCID: 0000-0002-7916-0255 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2019) Unlocking the black box of wearable intelligence: ethical considerations and social impact. In: 2019 IEEE Congress on Evolutionary Computation, 10-13 Jun 2019, Wellington, New Zealand.
2019 IEEE Congress on Evolutionary Computation (CEC)
Tuovinen, Lauri ORCID: 0000-0002-7916-0255
2019 IEEE Congress on Evolutionary Computation (CEC)
Computational intelligence is making its way into a variety of popular consumer products, including wearable physiological monitors such as activity trackers and sleep trackers. Such products are very convenient for the user, but this convenience is
Autor:
Timo Jämsä, Pekka Siirtola, Riikka Ahola, Raija Korpelainen, Riitta Pyky, Eino Keskitalo, Heli Koskimäki, Hannu I. Heikkinen, Juha Röning, Lauri Tuovinen, Tim Luoto
Publikováno v:
UbiComp/ISWC Adjunct
In this work, it was tested if a computer game and wearable sensors could be used to motivate young men to increase their everyday activity. The game itself was planned so that the possibility to play the game and success in it was dependent of how m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2438218b89e972a1656f48cb052ce965
http://urn.fi/urn:nbn:fi-fe2017101950202
http://urn.fi/urn:nbn:fi-fe2017101950202
Autor:
Lauri Tuovinen
Publikováno v:
KDIR
The process of knowledge discovery in databases (KDD) is traditionally driven by human experts with in-depth knowledge of the technology used and the domain in which it is being applied. The role of technology in this process is to passively execute
Autor:
Lauri Tuovinen
Publikováno v:
KDIR
The knowledge discovery process is traditionally viewed as a sequence of operations to be applied to data; the human aspect of the process is seldom taken into account, and when it is, it is mainly the roles and actions of domain and technology exper
Publikováno v:
IEEE Transactions on Industrial Electronics. 54:2823-2830
Resistance spot welding is used to join two or more metal objects, and the technique is widely used in, for example, the automotive and electrical industries. This paper introduces the use of the k-nearest-neighbor (knn) method to identify similar we
Publikováno v:
ICSC
Semantic metadata has many uses in online virtual environments, but the technology for acquiring and managing metadata is not yet fully developed. This paper presents a partial solution that combines and extends traditional top-down and bottom-up app