Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Mitja Lustrek"'
Autor:
Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Reščič, Vito Janko, Martin Gjoreski, Matjaž Gams, Mitja Luštrek
Publikováno v:
Sensors, Vol 22, Iss 10, p 3613 (2022)
From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented different scenarios in which participants were tasked with recognizing eight different modes of locomotion and transportation using sensor data from smartp
Externí odkaz:
https://doaj.org/article/0df6b9a029c643edacf4d5f67b639d1c
Publikováno v:
Sensors, Vol 21, Iss 5, p 1902 (2021)
Understanding people’s eating habits plays a crucial role in interventions promoting a healthy lifestyle. This requires objective measurement of the time at which a meal takes place, the duration of the meal, and what the individual eats. Smartwatc
Externí odkaz:
https://doaj.org/article/a8871f5830e645129ce16bd53bdda1d4
Publikováno v:
Sensors, Vol 21, Iss 5, p 1836 (2021)
Contact-free sensors offer important advantages compared to traditional wearables. Radio-frequency sensors (e.g., radars) offer the means to monitor cardiorespiratory activity of people without compromising their privacy, however, only limited inform
Externí odkaz:
https://doaj.org/article/f183bbdaa0b1446086ddb8350578e2cb
Autor:
Vito Janko, Mitja Luštrek
Publikováno v:
Sensors, Vol 21, Iss 3, p 766 (2021)
Context recognition using wearable devices is a mature research area, but one of the biggest issues it faces is the high energy consumption of the device that is sensing and processing the data. In this work we propose three different methods for opt
Externí odkaz:
https://doaj.org/article/447fb44015ed41728e62f1051e1a78e0
Publikováno v:
Sensors, Vol 19, Iss 15, p 3420 (2019)
Blood pressure (BP) is a direct indicator of hypertension, a dangerous and potentially deadly condition. Regular monitoring of BP is thus important, but many people have aversion towards cuff-based devices, and their limitation is that they can only
Externí odkaz:
https://doaj.org/article/9948ca13a93644efad232ca77c894bb8
Autor:
Kanita Karaduzovic‐Hadziabdic, Muhamed Adilovic, Lu Zhang, Andrew I Lumley, Pranay Shah, Muhammad Shoaib, Venkata Satagopam, Prashant Kumar Srivastava, Costanza Emanueli, Simona Greco, Alisia Madè, Teresa Padro, Pedro Domingo, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Bettina Benczik, Bence Ágg, Péter Ferdinandy, Andrew H Baker, Guy Fagherazzi, Markus Ollert, Joanna Michel, Gabriel Sanchez, Hüseyin Firat, Timo Brandenburger, Fabio Martelli, Lina Badimon, Yvan Devaux, COVIRNA consortium (www.covirna.eu)
Publikováno v:
Clinical and Translational Medicine, Vol 14, Iss 10, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/71b93a594f694b9f8d534470df0bb9ff
Autor:
Vito Janko, Mitja Luštrek
Publikováno v:
Sensors, Vol 18, Iss 1, p 80 (2017)
The recognition of the user’s context with wearable sensing systems is a common problem in ubiquitous computing. However, the typically small battery of such systems often makes continuous recognition impractical. The strain on the battery can be r
Externí odkaz:
https://doaj.org/article/5c04db97fbbe478ba377728fb9d1a2fb
Autor:
Yvan Devaux, Lu Zhang, Andrew I. Lumley, Kanita Karaduzovic-Hadziabdic, Vincent Mooser, Simon Rousseau, Muhammad Shoaib, Venkata Satagopam, Muhamed Adilovic, Prashant Kumar Srivastava, Costanza Emanueli, Fabio Martelli, Simona Greco, Lina Badimon, Teresa Padro, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Timo Brandenburger, Bettina Benczik, Bence Agg, Peter Ferdinandy, Jörg Janne Vehreschild, Bettina Lorenz-Depiereux, Marcus Dörr, Oliver Witzke, Gabriel Sanchez, Seval Kul, Andy H. Baker, Guy Fagherazzi, Markus Ollert, Ryan Wereski, Nicholas L. Mills, Hüseyin Firat
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-h
Externí odkaz:
https://doaj.org/article/54234423656547d89b595a58c9921da7
Publikováno v:
Sensors, Vol 16, Iss 6, p 800 (2016)
Although wearable accelerometers can successfully recognize activities and detect falls, their adoption in real life is low because users do not want to wear additional devices. A possible solution is an accelerometer inside a wrist device/smartwatch
Externí odkaz:
https://doaj.org/article/c0d554525b1248f48ed7baad18fbc258
Autor:
Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens Uwe-Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic
Publikováno v:
IEEE Access, Vol 9, Pp 103325-103336 (2021)
To further extend the applicability of wearable sensors, methods for accurately extracting subtle psychological information from the sensor data are required. However, accessing subjective information in everyday life, such as cognitive load, remains
Externí odkaz:
https://doaj.org/article/f18dd70d5d9945938a66d616c9643649