Bathroom watching using a breath detection system

Tomofumi Nishiura; Masato Nakajima

doi:10.1117/12.571135

25 October 2004 Bathroom watching using a breath detection system

Tomofumi Nishiura, Masato Nakajima

Proceedings Volume 5603, Machine Vision and its Optomechatronic Applications; (2004) https://doi.org/10.1117/12.571135
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

Recently, domestic accidents have been increasing in Japan. These kinds of accidents occur in private areas such as bedrooms, toilets and bathrooms, and tend to be found too late. Accidents, particularly those occurring in the bathroom, can often result in death. Many systems which have been proposed or which are in use are designed to detect body motion in the bathroom, and determine that a bather has suddenly taken ill when movement ceases. However, the relaxed posture of a person bathing is actually very similar to that of a person who has passed out. It is therefore very difficult to differentiate between the two postures. We have developed a watching system for bathrooms. The new feature of this system lies in its ability to detect a person’s breathing by using an FG vision sensor. From the experiment, it was found that the false alarm rate is expected to reach less than 0.0001% when waiting time is set to 36.8 seconds.

Citation Download Citation

Tomofumi Nishiura and Masato Nakajima "Bathroom watching using a breath detection system", Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); https://doi.org/10.1117/12.571135

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available