Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Koskimäki, H. (Heli)"'
Autor:
Koskimäki, H. (Heli)
The amount of digital data surrounding us has exploded within the past years. In industry, data are gathered from different production phases with the intent to use the data to improve the overall manufacturing process. However, management and utiliz
Externí odkaz:
http://urn.fi/urn:isbn:9789514290398
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
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
Objective: To validate the accuracy of the Oura ring in the quantification of resting heart rate (HR) and heart rate variability (HRV). Background: Wearable devices have become comfortable, lightweight, and technologically advanced for assessing heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::a11351a5168ec998094dd5b421d8ffcb
http://urn.fi/urn:nbn:fi-fe2020091869988
http://urn.fi/urn:nbn:fi-fe2020091869988
Autor:
Siirtola, P. (Pekka), Peltonen, E. (Ella), Koskimäki, H. (Heli), Mönttinen, H. (Henna), Röning, J. (Juha), Pirttikangas, S. (Susanna)
Wearable sensors have become more commonly used in everyday basis and powerful in terms of computational capacity and sensing resources, including capability to collect data from different bio-signals. The data collected from everyday wearables offer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::f4a6a23f38d78454547007211e64f5e9
http://urn.fi/urn:nbn:fi-fe2019121648255
http://urn.fi/urn:nbn:fi-fe2019121648255
Autor:
Maijala, A. (Anna), Kinnunen, H. (Hannu), Koskimäki, H. (Heli), Jämsä, T. (Timo), Kangas, M. (Maarit)
Background: Body temperature is a common method in menstrual cycle phase tracking because of its biphasic form. In ambulatory studies, different skin temperatures have proven to follow a similar pattern. The aim of this pilot study was to assess the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::4e4efb2c0c341916934173a8bc98cf3a
http://urn.fi/urn:nbn:fi-fe202003026921
http://urn.fi/urn:nbn:fi-fe202003026921
OpenHAR is a toolbox for Matlab to combine and unify 3D accelerometer data of ten publicly open data sets. This chapter introduces OpenHAR and provides initial experimental results based on it. Moreover, OpenHAR provides an easy access to these data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::96115996e7fb4ab7218860400f3984c4
http://urn.fi/urn:nbn:fi-fe202001071211
http://urn.fi/urn:nbn:fi-fe202001071211
In this article, it is studied how well inertial sensor-based human activity recognition models work when training and testing data sets are collected in different environments. Comparison is done using publicly open human activity data sets. This ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::f825569e11bb22841b2e8bc1ceccf9cf
http://urn.fi/urn:nbn:fi-fe2019041512237
http://urn.fi/urn:nbn:fi-fe2019041512237
Often it is necessary to have an accurate estimate of the probability that a classifier prediction is indeed correct. Many classifiers output a prediction score that can be used as an estimate of that probability but for many classifiers these predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::7348b36b08288ee405d7d6ceca4bcb80
http://urn.fi/urn:nbn:fi-fe2018060525273
http://urn.fi/urn:nbn:fi-fe2018060525273
Autor:
Koskimäki, H. (Heli), Mönttinen, H. (Henna), Siirtola, P. (Pekka), Huttunen, H.-L. (Hanna-Leena), Halonen, R. (Raija), Röning, J. (Juha)
The migraine is a chronic, incapacitating neurovascular disorder, characterized by attacks of severe headache and autonomic nervous system dysfunction, concerning 15% of people in developed countries. It is one of the most understated and incapacitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::1982e00e24bbbfbf9c0ddaaabaedee34
http://urn.fi/urn:nbn:fi-fe2017101750117
http://urn.fi/urn:nbn:fi-fe2017101750117