Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Thomas Plötz"'
Autor:
Srivatsa P, Thomas Plötz
Publikováno v:
Sensors, Vol 24, Iss 12, p 3944 (2024)
There has been a resurgence of applications focused on human activity recognition (HAR) in smart homes, especially in the field of ambient intelligence and assisted-living technologies. However, such applications present numerous significant challeng
Externí odkaz:
https://doaj.org/article/b061d7ad07fe404fa720295fa178e437
Autor:
Vedant Das Swain, Hyeokhyen Kwon, Sonia Sargolzaei, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-25 (2023)
Abstract A comprehensive understanding of collocated social interactions can help campuses and organizations better support their community. Universities could determine new ways to conduct classes and design programs by studying how students have co
Externí odkaz:
https://doaj.org/article/045a4273fe49494e918c501825ea00ab
Publikováno v:
Sensors, Vol 24, Iss 4, p 1238 (2024)
Human activity recognition (HAR) in wearable and ubiquitous computing typically involves translating sensor readings into feature representations, either derived through dedicated pre-processing procedures or integrated into end-to-end learning appro
Externí odkaz:
https://doaj.org/article/63a73a06469646f794961492e348cb9c
Autor:
Shruthi K. Hiremath, Thomas Plötz
Publikováno v:
Sensors, Vol 23, Iss 18, p 7729 (2023)
With the growing interest in smart home environments and in providing seamless interactions with various smart devices, robust and reliable human activity recognition (HAR) systems are becoming essential. Such systems provide automated assistance to
Externí odkaz:
https://doaj.org/article/98b27719f21d4c58a0ce55c00aee3935
Publikováno v:
Sensors, Vol 21, Iss 24, p 8337 (2021)
Supervised training of human activity recognition (HAR) systems based on body-worn inertial measurement units (IMUs) is often constrained by the typically rather small amounts of labeled sample data. Systems like IMUTube have been introduced that emp
Externí odkaz:
https://doaj.org/article/aec88289a22f4786b2d2f1752b1c9845
Publikováno v:
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-10 (2017)
Abstract Background There is increasing interest in the definition, measurement and use of traits associated with water use and drinking behaviour, mainly because water is a finite resource and its intake is an important part of animal health and wel
Externí odkaz:
https://doaj.org/article/f65ab2a02ff4440795d1fcf339205db0
Publikováno v:
Cellular Physiology and Biochemistry, Vol 36, Iss 3, Pp 852-865 (2015)
Background/Aims: Elevated levels of non-esterified fatty acids (NEFAs) are under suspicion to mediate β-cell dysfunction and β-cell loss in type 2 diabetes, a phenomenon known as lipotoxicity. Whereas saturated fatty acids show a strong cytotoxic e
Externí odkaz:
https://doaj.org/article/50c7e3dcec7d4ceea14f1fbc04c7fcce
Autor:
Aiden Doherty, Dan Jackson, Nils Hammerla, Thomas Plötz, Patrick Olivier, Malcolm H Granat, Tom White, Vincent T van Hees, Michael I Trenell, Christoper G Owen, Stephen J Preece, Rob Gillions, Simon Sheard, Tim Peakman, Soren Brage, Nicholas J Wareham
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0169649 (2017)
BACKGROUND:Physical activity has not been objectively measured in prospective cohorts with sufficiently large numbers to reliably detect associations with multiple health outcomes. Technological advances now make this possible. We describe the method
Externí odkaz:
https://doaj.org/article/ccd18cb32c254941b0dca48a1b08c10e
Publikováno v:
Sensors, Vol 18, Iss 8, p 2521 (2018)
We designed and evaluated an assumption-free, deep learning-based methodology for animal health monitoring, specifically for the early detection of respiratory disease in growing pigs based on environmental sensor data. Two recurrent neural networks
Externí odkaz:
https://doaj.org/article/8a9404e793cd411bb9f933a206683016
Autor:
Sarah J Denton, Michael I Trenell, Thomas Plötz, Louise A Savory, Daniel P Bailey, Catherine J Kerr
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e61073 (2013)
Sedentary behaviour is a major risk factor for developing chronic diseases and is associated with low cardiorespiratory fitness in adults. It remains unclear how sedentary behaviour and different physical activity subcomponents are related to cardior
Externí odkaz:
https://doaj.org/article/4e4fb6605ec04d9c929a704a07a16a82