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ABSTRACT: This paper proposes a biometric personal authentication based on the pressure distribution while one step walking. We extract one step from a walk on a mat type load distribution sensor and use it to personal authentication. With this method, features which are based on weight movement and foot shape during walking are calculated, then a classifier is developed on the basis of fuzzy inference. We employed 30 volunteers. All volunteers are ranged from 20 to 85 years old. For each volunteer, we took walk data six times. Then, we evaluated this method by five training data and one test data. We obtained 6.1% EER (Equal Error Rate) and 13.9% FRR (False Rejection Rate) in verification (1:1 collation) and identification (1:N collation), respectively.
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on; 09/2009
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ABSTRACT: This paper describes a human health monitoring system by an ultrasonic sensor and an mat sensor systems. The system is realized with constrain-free, low cost and bed-side usage applicable. In it the ultrasonic sensor system obtains the state of a patient in bed by placing it under a bed frame. The mat sensor system detects heart beats and respiration signals by placing it to the mattress on the bed. This means that we can measure autonomic nerve system by using the heart rate and contribute the diagnosis of sleep apnea. This system employs fuzzy logic techniques to detect them. Thus, the system of systems with fuzzy logic can noninvasively and unconsciously provide human health information with high accuracy.
Robotic Intelligence in Informationally Structured Space, 2009. RIISS '09. IEEE Workshop on; 05/2009
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ABSTRACT: In this paper, we propose a personal identification by sole pressure change. We obtain sole pressure change of multiple steps by using two pressure sensor sheets. Each pressure sensor sheet is inserted into each shoe as an inner sock. Then, we extract characteristics of sole pressure change from the obtained data. We make template data of both feet from the extracted characteristics. We propose a Euclidean distance based method for personal identification. As the experimental result, we have recognized one of ten volunteers with over 90% accuracy.
Automation Congress, 2008. WAC 2008. World; 11/2008
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ABSTRACT: This paper describes a human health monitoring system by an air pressure sensor and an ultrasonic sensor system. The ultrasonic sensor system can obtain the state of a patient in bed by placing it under a bed frame. That is, we can determine whether or not a patient in the bed. The air pressure sensor system can detect heart beats by placing it to the mattress on the bed. By using two sensors complementary, we can detect the behavior before getting out of bed aided by fuzzy inference technique. The system of the two sensors can complementary detects the state, heart beat, a behavior before getting out of bed. Thus, the system of the two sensor systems can noninvasively and unconsciously provide human health information with high accuracy aided by fuzzy logic.
System of Systems Engineering, 2008. SoSE '08. IEEE International Conference on; 07/2008
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ABSTRACT: In this paper, we propose a personal identification method using sole information. We employ pressure changes of sole in walking. First, we do a preliminary examination using a load distribution sensor. We employ a neural network for a personal identification method. As the result, we show a possibility of an identification system by sole information using the load distribution sensor. Based on the result, we propose a personal identification method by sole pressure changes using three air pressure sensors. This method could identify one of five volunteers at 85.4% recognition rate.
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on; 11/2007
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ABSTRACT: This paper describes a heart pulse monitoring system by both air pressure sensor and ultrasonic sensor systems. Our developed ultrasonic oscillosensor system can obtain the heart pulse information of human by setting to the under of the bed. Our developed air pressure sensor system can also detect a pressure change of vital information and a heart pulse by setting into the mattress on the bed. The air pressure sensor could detect the heart pulse at higher accuracy. However, it depends on the position of the senor in the bed. A system of the two sensor systems can complementary provides the heart pulse with high accuracy and robustness.
System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on; 05/2007
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ABSTRACT: Unconstrained patients health monitoring systems are required in the field of medicine and nursing. Our developed ultrasonic oscillosensor can detect the vibration of human vital by setting to the under of the bed. This paper proposes an extraction method of the heart rate by using this sensor. Our method extracts the weakly detected heart pulse by enveloping the obtained data. Since our method employs fuzzy membership functions, it can adapt to extract the heart rate for various heart frequencies. As the result, we were able to successfully extract the heart rate for four volunteers.
Automation Congress, 2006. WAC '06. World; 08/2006
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Ultrasonics Symposium, 2005 IEEE; 10/2005
