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member_img Yoshifumi Nishida


Prime Senior Researcher
Digital Human Research Center
National Institute of Advanced Industrial Science and Technology (AIST)

TEL: +81-3-3599-8187
FAX: +81-3-5530-2066
E-Mail: [javascript protected email address]


Mar. 1998,   Completed Dr.s' course, Graduate School of Mechanical Engineering, The University of Tokyo.
Mar. 1998, Received Dr. of Engineering from The University of Tokyo.
Apr. 1998 Joined Electrotechnical Laboratory, Agency of Industrial Science and Technology, MITI.
Apr. 2001, Joined Digital Human Laboratory(DHL), National Institute of Advanced Industrial Science and Technology (AIST).
Apr. 2003 The laboratory was reorganized to Digital Human Research Center(DHRC), AIST.
Apr. 2003 Human Behavior Understanding Team Leader, DHRC, AIST.
Oct. 2005 Senior Research Scientist, DHRC, AIST

Research Topics

Active Understanding Human Intention through Monitoring Human Behavior (1994-1995) as Master Work

Understanding human intention is an essential function for a robot which can offer adequate support to human beings. It requires smooth communication between the human and the robot. Human behavior is an expressive media of communication. This work proposes a new function of "active understanding of human intentions" by a robot through monitoring of human behavior. The unique feature of the proposed function lies in the fact that it utilizes multi-communication channels in parallel, i.e., human intentions are understood not only through conscious behavior but also through unconscious behavior. This work also proposes a robot architecture to realize the function.Following points are the key features of the architecture: 1) A robot possesses multi-sensors which surround the human. 2) Information processing is carried out by dual loops a loop for information exchange between the human and the robot and a loop for human intention understanding. As an example of a robot with the human intention understanding functions, the authors constructed a micro-teleoperation robot. It can automatically understand an operator's intention through such unconscious behavior of touching a desk with an operator's hand which holds a pen-shaped master. The understood result is utilized to change the control mode of a master-slave manipulation system from fine motion to rough motion and vice versa. The experimental results prove that the proposed function is effective in making the operation of the system easier. Consequently the system is friendly to the operators.

Understanding Human Physiological Status by Surrounding Sensor System (1996-1998) as Doctor Work

This work develops a new method of understanding human physiological status through unrestrainedly and noninvasively monitoring his or her body movement by a surrounding sensor system. The new understanding method consists of the function of inferring physiological values (ex. tidal volume) from sensor signal, and the function of continuously monitoring of the sensor signal relating to target physiological values. This works proposes a "hierarchical human model" which consists of physiological layer and physical layer to realize the above functions respectively. The developed surrounding sensor system is composed of cameras embedded in a ceiling and 221 pressure sensors attached to a bed. Based on the surrounding sensor system and the hierarchical human model, a new method for diagnosing Sleep Apnea Syndrome(SAS) and monitoring posture in sleep is developed. Experiments to prove the effectiveness of the proposed method. were conducted not only in a laboratory but also at a hospital.

Modeling and Monitoring Human Respiratory System Based on Environment Sensorization (1998-now)

This work develops a living-space-shaped system for non-invasively and unrestrainedly monitoring the human respiratory system and intelligibly reporting its results. This environmental system consists of sensorized furniture: 1) a ceiling dome microphone, 2) a pressure sensor bed, and 3) a washstand display. The ceiling dome microphone consists of a ceiling dome, a lighting fixture, and an omnidirectional microphone. The ceiling dome microphone can detect not only snoring sounds but also normal breathing sounds, i.e., airflow at the mouth and nose. The pressure sensor bed has 210 tactile sensors which was developed by cooperating with a company based on the previously developed pressure sensor bed and can monitor body movement, breath curve and posture. By analyzing the breath curve, the system can estimate oxygen desaturation frequency. By integrating the above functions, for example, the system can find obstructive apnea, which is a typical apnea such that the patient cannot inhale the air despite of breath effort and that the concentration of the oxygen in blood falls. The washstand display can provide information related to the conditions of the respiratory system in the person's daily life. To prove the effectiveness of the integrated system and its functions, experiments are conducted for more than 30 real patients suffering from breath disorder.

Enabling Environment for Observing, Modeling and Supporting of Human Functions Based on Digital Human (2001-now)