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Digital Human Symposium 2008

Established in 2001, the Digital Human Research Center has continued the research on building mechano-dynamical, physio-anatomical and psycho-cognitive model of humans. Our achievements are found in human body databases, human-centered product designs, human error analysis, science in everyday life and its application to infant injury prevention technology, human-symbiotic robot technology, etc.

This year, we present a symposium focused on "Human Body-Lingual Technology," i.e. a methodology to catch and predict human emotions and behaviors by using non-verbal information emitted from people as physiological and motion signals. Four invited speakers and four DHRC researchers are ready to give talks about what can be interpreted from long-term non-invasive measurements of physiological signs, how human's cognitive and dynamic characteristics can be estimated from a simple task performance, how these results can be exploited for medical applications and health monitoring.

In addition, all research activities of DHRC will be presented in the open house style demonstrations by all staffs at AIST Waterfront, Odaiba. We look forward to exchanging hot discussions and to hearing live comments.



9:30On-site Registration
9:45~10:15 Opening Address
"Quality of Life Technology & Digital Human Research" [Japanese]
Takeo Kanade (Digital Human Research Center)
10:15~11:05 Invited Speech
"The Tip of the Iceberg" [English]
Dr.Astro Teller (BodyMedia, Inc.)
11:05~11:35Coffee Break
11:35~12:15 Invited Speech
"Strategic Defensive Medical-Care Initiative with "Info-Medicine" - A New Approach to Life-Style Related Disease -" [Japanese]
Prof. Haruyuki Tatsumi (Sapporo Medical University Postgraduate School of Medicine)
13:10~14:00 Invited Speech
"Facial Expression and Emotion for Human-Centered Computing" [English]
Prof. Jeffrey F. Cohn (University of Pittsburgh)
14:00~14:40 Invited Speech
"Electroencephalogram and Human Brain Function During Sleep" [Japanese]
Sunao Uchida (Frontier Research Center, Waseda University)
14:40~15:10Coffee Break
15:10~15:30 DHRC Research Topic
"Pain and Stress Detection using Characteristics on Respiratory Waveform" [Japanese]
Kensaku Sakai (Digital Human Research Center)
15:30~15:50 DHRC Research Topic
"Measurement of Sleep Quality and Autonomic Nervous System Regularity for Mental Health Monitor" [Japanese]
Hiroyasu Miwa (Digital Human Research Center)
15:50~16:10 DHRC Research Topic
"Integration of Moving Data Analysis and Multi-Agent Simulation for Safety and Comfortable Space Design" [Japanese]
Kiyoshi Izumi (Digital Human Research Center)
16:10~16:30 DHRC Research Topic
"Digital Human Operator" [Japanese]
Edwardo Arata Y. Murakami (Digital Human Research Center)
16:30~18:30Open house: Digital Human Research Center

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Speach Abstract

Astro Teller "The Tip of the Iceberg"

CEO of BodyMedia Inc.

The field of understanding the human body through short-term and long-term continuous monitoring of the human body has come a long way in the last 150 years. The field of unobtrusive body monitoring of people in their natural environments is a much younger field, but exciting progress in that area has also been made.

This talk will begin with some examples of the state of the art in unobtrusive long-term continuous monitoring of people in their natural environments. The talk will include not only what is being done already, but will touch on a range of areas that have so far been unexplored or under-explored. These new, emerging areas include new technologies, new methodologies, and new application areas and how each is likely to expand the field in the next five years.

Taking the state of the art and these emerging areas as the jumping off point, the heart of the talk will be on how profoundly unobtrusive body monitoring will change our lives in the next several decades. Because most of the initial high value applications of unobtrusive body monitoring in natural environments tends to be in the areas of healthcare and wellness, the entire field is inordinately structured around these fields, legitimate and important as they are. Using other examples from technology adoption over the past hundred years, the talk will argue for a much broader perspective than is traditionally used in the field for the long-term value of the technologies being constructed and fielded today - that unobtrusive long-term continuous body monitoring will in our lifetimes rival even the personal computer revolution in the ubiquitous nature of the transformation it creates in every aspect of our lives.

Haruyuki Tatsumi "Strategic Defensive Medical-Care Initiative with "Info-Medicine" - A New Approach to Life-Style Related Disease -"

Professor of Sapporo Medical University Postgraduate School of Medicine

From the stand point of the life-science, we are challenging to take advantage of our research fruits in order to conquer life-style related diseases. Beginning with extended discussions on "information" itself, we made new concepts: "Zero-Click", "Reversed Nurse-Call" and "Info-Medicine." They are essential parts of "SDMCI: Strategic Defensive Medical-Care Initiative", which is a kind of "super proactive prophylactic medicine". Instead of using drugs, we administer an appropriate message, "Info-Medicine," to pre-patients just in an adequate timing with "Reversed Nurse-Call." Based on the available vital-related data collected with the "Zero-Click" healthcare monitoring system, the "info-Medicine," developed and timely delivered to them as an effective drug, induces a change of one's behavior, with which prevents them suffering from diseases. We hereby demonstrate our successful experimental research and results.

Jeffrey F. Cohn "Facial Expression and Emotion for Human-Centered Computing"

Professor of University of Pittsburgh

A common view is that emotions and subjective experience are one and the same and that a goal of human-centered computing is emotion recognition. The first belief is outdated; the second mistaken. For human-centered computing to succeed, a different way of thinking is needed. Emotions are species-typical patterns that evolved because of their value in addressing fundamental life tasks. Emotions may include multiple components. Subjective experience is only one. Emotions are not directly observable, but inferred from expressive behavior, self-report, physiological indicators, and context. I focus on expressive facial behavior because of its coherence with other indicators and research. Among the topics included are measurement, individual differences, and intra- and interpersonal timing. The findings can inform the design of more naturalistic human-centered computing.

Sunao Uchida "Electroencephalogram and Human Brain Function During Sleep"

Professor of Waseda University

Past reports indicate that the brain is actively functioning during sleep. However, their mechanisms have not been elucidated. We studied electroencephalographic characteristics in human sleep to investigate brain function during sleep. Surface EEG studies found that there are three frequency bands, which shows characteristic oscillatory pattern during sleep. They are delta (0.3-3Hz), sigma (12-14Hz) and beta (20-28Hz). Amongst them, beta shows higher values during REM sleep, when brain is relatively active during sleep. Electrocorticogram study also revealed higher frequencies are more active during REM sleep. Positron emission tomography studies revealed beta EEG is correlated with regional cerebral blood flow in midbrain, brainstem and frontal cingulated cortex. These finding may indicate higher frequency EEG activity is a correlate of vigilance level during sleep.

Kensaku Sakai "Pain and Stress Detection using Characteristics on Respiratory Waveform"

Research Scientist of Digital Human Research Center

We are developing a model that can represent the physiological and mental responses of a patient at each stage of a surgical procedure during endoscopic sinus surgery under local anesthesia. In this study, causal influence structures among changes in heart rate and blood pressure and characteristic shapes on respiratory waveform were constructed using a Bayesian network. We defined ten respiratory waveform indices indicating breath-holding behaviors and respiratory irregularities. According to the results of analysis and model construction, the defined indices demonstrate improvements in the ability to predict the changing direction of blood pressure in all patients.

Hiroyasu Miwa "Measurement of Sleep Quality and Autonomic Nervous System Regularity for Mental Health Monitor"

Research Scientist of Digital Human Research Center

Though the number of people who has mental health problems such as depressive disorders is increasing, most patients do not take a suitable medical treatment because of a lack of clear subjective symptoms. However, we are considering that mental disorders may manifest as displacements of measurable physiological signals since mental disorders grow in the brain, which controls homeostasis of the whole body. Then, we have been developing mental health monitor which can detect mental disorders.

In this presentation, we will propose indices for sleep quality and autonomic nervous system regularity in order to detect the depression from physiological signal, and talk about measurements of the proposed indices to healthy people and patients with depressive disorders for more than 50 days with a wearable sensor.

Kiyoshi Izumi "Integration of Moving Data Analysis and Multi-Agent Simulation for Safety and Comfortable Space Design"

Research Scientist of Digital Human Research Center

This research proposed a new approach that integrated modeling of moving persons from sensor data and multiagent simulation for indoor layout design from the viewpoint of the prevention of children's accident. Our model focused on the interaction between indoor goods and children, and estimated the risk of an indoor accident. We discussed multi-agent simulation of multiple moving persons in public spaces and application to evaluation of the information presentation method for guidance.

Edwardo Murakami "Digital Human Operator"

Research Scientist of Digital Human Research Center

The analysis of how the human operator attains and processes the sensory feedback information is of great importance in the design of teleoperated systems or X-by-wire systems. The aim of this research is to analyze the human visual and force sensory feedback integration related to a manipulation task and build a control model of a human operator. One master-slave type experimental device named SEED was designed in order to analyze the effects of these feedback information. Using the SEED it was possible to obtain the human operator characteristics in the presence of different sensory feedback information.

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