Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sameera Palipana"'
Publikováno v:
IEEE Access, Vol 8, Pp 32321-32331 (2020)
In advanced driver assistance systems to conditional automation systems, monitoring of driver state is vital for predicting the driver's capacity to supervise or maneuver the vehicle in cases of unexpected road events and to facilitate better in-car
Externí odkaz:
https://doaj.org/article/c86ce245c39f4170a410305102d7877b
Autor:
Sameera Palipana, Stephan Sigg
Publikováno v:
IEEE Access, Vol 7, Pp 154535-154545 (2019)
Device-free passive sensing of the human targets using wireless signals have acquired much attention in the recent past because of its importance in many applications including security, heating, ventilation and air conditioning, activity recognition
Externí odkaz:
https://doaj.org/article/a19d63df57a449acb8533f86e24ffbb9
We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is positioned in a unique region of the RF landscape: mid-resolution mid-range high-fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247f8428730aeaa60044136cb7dbb3d0
http://orbilu.uni.lu/handle/10993/46834
http://orbilu.uni.lu/handle/10993/46834
Publikováno v:
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
MLSP
MLSP
We address an actively discussed problem in signal processing, recognizing patterns from spatial data in motion. In particular, we suggest a neural network architecture to recognize motion patterns from 4D point clouds. We demonstrate the feasibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b231f8336cac8eba4bde323966b6bd4b
https://aaltodoc.aalto.fi/handle/123456789/101578
https://aaltodoc.aalto.fi/handle/123456789/101578
Datasets for OPEN and OFFICE environments for 41 participants from the paper 'Pantomime: Motion Gesture Recognition from Radar-based Sparse 3D Point Clouds'. The datasets belong to the Radiosense project.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13fe2922eebd9bc33a6db52e33eb9b3c
Publikováno v:
PerCom
Recognition of the context of humans plays an important role in pervasive applications such as intrusion detection, human density estimation for heating, ventilation and air-conditioning in smart buildings, as well as safety guarantee for workers dur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::770a4db53338d2e30490d3b176ebd2c1
https://aaltodoc.aalto.fi/handle/123456789/46431
https://aaltodoc.aalto.fi/handle/123456789/46431
Publikováno v:
IEEE Transactions on Mobile Computing. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3beb31b4868e5c2557ea18fe8b36bb
https://doi.org/10.1109/tmc.2022.3153717
https://doi.org/10.1109/tmc.2022.3153717
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1:1-25
Falling or tripping among elderly people living on their own is recognized as a major public health worry that can even lead to death. Fall detection systems that alert caregivers, family members or neighbours can potentially save lives. In the past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043e136439bdf528fcd42997ab9e7fda
https://doi.org/10.1145/3161183
https://doi.org/10.1145/3161183
Publikováno v:
Ad Hoc Networks. 64:80-98
Radio frequency (RF) based indoor localisation techniques have gained much attention over the past nearly three decades. Such techniques can be classified as active and passive while passive systems can have either device-assisted or device-free char
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c8d6f1a5cc197c7037ca9035a8bb745
https://doi.org/10.1016/j.adhoc.2017.06.007
https://doi.org/10.1016/j.adhoc.2017.06.007
Autor:
Sameera Palipana, Stephan Sigg
Publikováno v:
DFHS@BuildSys
We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is several magnitudes stronger than the human response. The solution is implemented in a 5G testbed using a software-defined radio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b6a62efc3a0b517c1b97a858cf5586
https://doi.org/10.1145/3360773.3360875
https://doi.org/10.1145/3360773.3360875