Abstract
Nowadays it is said that extending the healthy life expectancy is important in the aging society target group. Of course it is important for every singleperson household to be regularly checked upon their safety, but especially for elderly people the importance is higher at the point of healthy living, because this particular target group comprises a higher accidents rate. Therefore, the authors here propose the design and implementation of an unobtrusive vision system for single-person households, particularly for elderly people, based on the Microsoft Kinect v2. The entrance area of the home environment is here considered, where the monitoring system is activated upon while the user approaches, in order to first detect and calculate the user's fatigue levels, as well as to secondly identify the user by facial recognition, in order to actuate a door opening mechanism. The proposed system algorithm is divided into two distinct phases. The first phase concerns the acquisition of the user knee position while walking up a staircase in order to calculate fatigue. The second phase comprises the face recognition based door opening method. The proposed system has been successfully tested, and it could undoubtedly comprise an unobtrusive health status validation and automated door opening solution for elderly people in single-person households.
| Original language | English |
|---|---|
| Title of host publication | ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction |
| Publisher | International Association for Automation and Robotics in Construction I.A.A.R.C) |
| Pages | 132-140 |
| Number of pages | 9 |
| Publication status | Published - 2016 |
| Event | 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 - Auburn, United States Duration: 2016 Jul 18 → 2016 Jul 21 |
Other
| Other | 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 |
|---|---|
| Country | United States |
| City | Auburn |
| Period | 16/7/18 → 16/7/21 |
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Keywords
- Ambient Assisted Living
- Computer Vision
- Face Recognition
- Fatigue Detection
- Kinect v2
ASJC Scopus subject areas
- Artificial Intelligence
- Civil and Structural Engineering
- Human-Computer Interaction
- Geotechnical Engineering and Engineering Geology
Cite this
A face recognition system for automated door opening with parallel health status validation using the kinect v2. / Ogawa, Ami; Mita, Akira; Georgoulas, C.; Bock, T.
ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction I.A.A.R.C), 2016. p. 132-140.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A face recognition system for automated door opening with parallel health status validation using the kinect v2
AU - Ogawa, Ami
AU - Mita, Akira
AU - Georgoulas, C.
AU - Bock, T.
PY - 2016
Y1 - 2016
N2 - Nowadays it is said that extending the healthy life expectancy is important in the aging society target group. Of course it is important for every singleperson household to be regularly checked upon their safety, but especially for elderly people the importance is higher at the point of healthy living, because this particular target group comprises a higher accidents rate. Therefore, the authors here propose the design and implementation of an unobtrusive vision system for single-person households, particularly for elderly people, based on the Microsoft Kinect v2. The entrance area of the home environment is here considered, where the monitoring system is activated upon while the user approaches, in order to first detect and calculate the user's fatigue levels, as well as to secondly identify the user by facial recognition, in order to actuate a door opening mechanism. The proposed system algorithm is divided into two distinct phases. The first phase concerns the acquisition of the user knee position while walking up a staircase in order to calculate fatigue. The second phase comprises the face recognition based door opening method. The proposed system has been successfully tested, and it could undoubtedly comprise an unobtrusive health status validation and automated door opening solution for elderly people in single-person households.
AB - Nowadays it is said that extending the healthy life expectancy is important in the aging society target group. Of course it is important for every singleperson household to be regularly checked upon their safety, but especially for elderly people the importance is higher at the point of healthy living, because this particular target group comprises a higher accidents rate. Therefore, the authors here propose the design and implementation of an unobtrusive vision system for single-person households, particularly for elderly people, based on the Microsoft Kinect v2. The entrance area of the home environment is here considered, where the monitoring system is activated upon while the user approaches, in order to first detect and calculate the user's fatigue levels, as well as to secondly identify the user by facial recognition, in order to actuate a door opening mechanism. The proposed system algorithm is divided into two distinct phases. The first phase concerns the acquisition of the user knee position while walking up a staircase in order to calculate fatigue. The second phase comprises the face recognition based door opening method. The proposed system has been successfully tested, and it could undoubtedly comprise an unobtrusive health status validation and automated door opening solution for elderly people in single-person households.
KW - Ambient Assisted Living
KW - Computer Vision
KW - Face Recognition
KW - Fatigue Detection
KW - Kinect v2
UR - http://www.scopus.com/inward/record.url?scp=84994338284&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994338284&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84994338284
SP - 132
EP - 140
BT - ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction
PB - International Association for Automation and Robotics in Construction I.A.A.R.C)
ER -