Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Hans W. Guesgen"'
Autor:
Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton, Hans W. Guesgen
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-15 (2023)
Abstract While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for multiple session EEG data. Thus,
Externí odkaz:
https://doaj.org/article/0da10ba044c64ff0955a7cde939e8154
Publikováno v:
IEEE Access, Vol 9, Pp 157182-157191 (2021)
Human matting, high quality extraction of humans from natural images, is crucial for a wide variety of applications such as virtual reality, augmented reality, entertainment and so on. Since the matting problem is an ill-posed problem, most previous
Externí odkaz:
https://doaj.org/article/dec425f05e4e41328fbaf49abdaa4b2d
Publikováno v:
Sensors, Vol 22, Iss 21, p 8458 (2022)
Sensor-based human activity recognition has been extensively studied. Systems learn from a set of training samples to classify actions into a pre-defined set of ground truth activities. However, human behaviours vary over time, and so a recognition s
Externí odkaz:
https://doaj.org/article/0d179c894cc8429487b8a8006e3c6aaa
Publikováno v:
IEEE Access, Vol 7, Pp 46858-46869 (2019)
Motor imagery-based electroencephalogram brain-computer interface (BCI) performance suffers from huge variations within and across subjects. This is due to different spatial and temporal characteristics among the subjects. To address these variabilit
Externí odkaz:
https://doaj.org/article/8b668d20dfa74a91b735067489144c5c
Publikováno v:
Sensors, Vol 21, Iss 6, p 2173 (2021)
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of communication through the utilization of neural activity generated due to kinesthetic imagination of limbs. Every year, a significant number of publications that are
Externí odkaz:
https://doaj.org/article/066142d251314ad6a0429dd8141bc655
Publikováno v:
Future Internet, Vol 12, Iss 12, p 214 (2020)
The smart home has begun playing an important role in supporting independent living by monitoring the activities of daily living, typically for the elderly who live alone. Activity recognition in smart homes has been studied by many researchers with
Externí odkaz:
https://doaj.org/article/7ae120c5cea94386b5df4a36d2ea5f94
Autor:
Hans W. Guesgen
Publikováno v:
Sensors, Vol 20, Iss 6, p 1779 (2020)
Activity recognition plays a central role in many sensor-based applications, such as smart homes for instance. Given a stream of sensor data, the goal is to determine the activities that triggered the sensor data. This article shows how spatial infor
Externí odkaz:
https://doaj.org/article/f34146019cb645b58cae56c69ef09e9b
Publikováno v:
Sensors, Vol 19, Iss 2, p 379 (2019)
Electroencephalogram (EEG) based motor imagery brain–computer interface (BCI) requires large number of subject specific training trials to calibrate the system for a new subject. This results in long calibration time that limits the BCI usage in pr
Externí odkaz:
https://doaj.org/article/50ae873d576445afb3a75564817f3cb7
Publikováno v:
Multimedia Tools and Applications. 81:21111-21133
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ca5e4ecc24465724b5664930d000fa
https://doi.org/10.1007/s11042-022-12490-2
https://doi.org/10.1007/s11042-022-12490-2
Publikováno v:
IEEE Access, Vol 9, Pp 157182-157191 (2021)
Human matting, high quality extraction of humans from natural images, is crucial for a wide variety of applications such as virtual reality, augmented reality, entertainment and so on. Since the matting problem is an ill-posed problem, most previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5009b6bb845293252f6152c775a92d2
https://ieeexplore.ieee.org/document/9600805/
https://ieeexplore.ieee.org/document/9600805/