Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Enea Cippitelli"'
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 1417-1434 (2015)
The Microsoft Kinect sensor has gained attention as a tool for gait analysis for several years. Despite the many advantages the sensor provides, however, the lack of a native capability to extract joints from the side view of a human body still limit
Externí odkaz:
https://doaj.org/article/352f8b51866f454284ef0b7864bece99
Publikováno v:
Sensors, Vol 14, Iss 2, Pp 2756-2775 (2014)
We propose an automatic, privacy-preserving, fall detection method for indoor environments, based on the usage of the Microsoft Kinect® depth sensor, in an “on-ceiling” configuration, and on the analysis of depth frames. All the elements capture
Externí odkaz:
https://doaj.org/article/40cfcbd2c50e40c6beeb05dc5b45bc68
Autor:
Ennio Gambi, Angela Agostinelli, Alberto Belli, Laura Burattini, Enea Cippitelli, Sandro Fioretti, Paola Pierleoni, Manola Ricciuti, Agnese Sbrollini, Susanna Spinsante
Publikováno v:
Sensors, Vol 17, Iss 8, p 1776 (2017)
Contactless detection is one of the new frontiers of technological innovation in the field of healthcare, enabling unobtrusive measurements of biomedical parameters. Compared to conventional methods for Heart Rate (HR) detection that employ expensive
Externí odkaz:
https://doaj.org/article/1c0b19424b374975b950232ba64207fc
Publikováno v:
IEEE Sensors Journal. 17:3585-3604
This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field. Systems to detect reliab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::328bd26fc36668ccc525a1fd29887b48
https://doi.org/10.1109/jsen.2017.2697077
https://doi.org/10.1109/jsen.2017.2697077
Autor:
Francesco Fioranelli, Aman Shrestha, Ennio Gambi, J. Le Kernec, Susanna Spinsante, Enea Cippitelli
Publikováno v:
Scopus-Elsevier
This paper presents a preliminary analysis of radar signatures for fall detection and classification of human indoor actions, to monitor the daily activity patterns of individuals at risk of deteriorating physical or cognitive health. Two datasets of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ce0bde42dc3d3e96b198826fd870e1
https://eprints.gla.ac.uk/140845/13/140845.pdf
https://eprints.gla.ac.uk/140845/13/140845.pdf
Autor:
Ennio Gambi, Matteo Pepa, Enea Cippitelli, Haobo Li, Julien Le Kernec, Francesco Fioranelli, Aman Shrestha, Susanna Spinsante, Hadi Heidari
Significant research exists on the use of wearable sensors in the context of assisted living for activities recognition and fall detection, whereas radar sensors have been studied only recently in this domain. This paper approaches the performance li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a0ab1aebe89ecc962f5995816996388
https://eprints.gla.ac.uk/148716/1/148716.pdf
https://eprints.gla.ac.uk/148716/1/148716.pdf
Publikováno v:
Journal on Multimodal User Interfaces. 9:141-151
For the people who are totally or partially unable to move or control their limbs and cannot rely on verbal communication, it is very important to obtain an interface capable of interpreting their limited voluntary movements, in order to allow commun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c6989cad717445735e540e8d7d4a60f
https://doi.org/10.1007/s12193-015-0174-7
https://doi.org/10.1007/s12193-015-0174-7
Autor:
Laura Burattini, Paola Pierleoni, Enea Cippitelli, Susanna Spinsante, Agnese Sbrollini, Sandro Fioretti, Ennio Gambi, Angela Agostinelli, Alberto Belli, Manola Ricciuti
Publikováno v:
Sensors, Vol 17, Iss 8, p 1776 (2017)
Sensors; Volume 17; Issue 8; Pages: 1776
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 8; Pages: 1776
Sensors (Basel, Switzerland)
Contactless detection is one of the new frontiers of technological innovation in the field of healthcare, enabling unobtrusive measurements of biomedical parameters. Compared to conventional methods for Heart Rate (HR) detection that employ expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba68659a12ea16569802790e4d7007d2
https://www.mdpi.com/1424-8220/17/8/1776
https://www.mdpi.com/1424-8220/17/8/1776
Publikováno v:
Motion Tracking and Gesture Recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64272e75310a3136b66804355a09de0
https://doi.org/10.5772/68121
https://doi.org/10.5772/68121
Publikováno v:
DSAI
Population ageing is a growing phenomenon, especially in Europe, so researchers are developing Active and Assisted Living solutions to promote ageing in place of elderly people. One of the most critical issues is represented by falls, and the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b07d5bcd5fd6fa8f5e5564bbf06148c
https://doi.org/10.1145/3019943.3019979
https://doi.org/10.1145/3019943.3019979