2021 IEEE 3rd Global Conference on Life Sciences and Technologies

LifeTech 2021 | First parmanent capital Nara, Japan | March 9-11, 2021

Call for Organized Sessions

LifeTech 2021 welcomes proposals of Organized Sessions which are related to up-to-date and cross-field topics, except Regular Session Topics.

People who propose Organized Session will be required to submit the following five materials;

  1. Organized Session Title
  2. Chair and Co-chair (max 2 persons)
  3. 5 keywords treated in the OS for paper submission systems
  4. More than 2 reviewers for the session
  5. Abstract of Organized Session (about 100 words in English)

Please fill out the Organized Session Proposal Form doc or PDF, and send it to LifeTech support office via e-mail.

Accepted Organized Sessions

Thank you very much for many proposals of Organized Sessions!
LifeTech 2021 has the following OSs.

OS-AIP: OS-AIP: Advanced Image Processing for Life Science & Technologies
Chair: Tomio Goto, JP (Nagoya Institute of Technology)
Keywords: Image filtering, Super-resolution
Photograph image processing, Pattern recognition
Computer graphics, Image compression
Noise reduction
Other image processing technology
Abstract: In life science and technology applications, the demand for image processing is increasing. In addition to the traditional television and camera, the new field of 3D application, photograph processing, entertainment image, image recognition, computer graphics, and image compression for personal use have been greatly progressed. In this session, every advanced image processing technology for life science and technologies will be encouraged to be submitted.

OS-AIT: Advanced Image Technology in Applied Life Science: IoT & Deep Learning Perspectives
Chair: Thi Thi Zin, JP (University of Miyazaki)
Co-Chair: Hiromitsu Hama, JP (Osaka City University)
Keywords: Advanced image processing & potential of its applications
Internet of things & applications
Precision dairy cow monitoring system
Neural network, deep Learning & their applications
Machine Learning & its Applications
Abstract: Advanced Image Technology from the perspectives of IoT and Deep Learning Techniques have come out in frontier lines for innovating Applied Life Science in the era of the fourth generation industrial revolution or Industry 4.0 where the production systems and production sites are built to be intelligent, connected, and autonomous in nature. In order to make these trends lively, widely, wisely and highly impacts, this session will focus on the utilizations of image technologies along with IoT advances and deep learning innovations in theoretical and practical aspects for Life Science Industries.

OS-BBS: Objective and Quantitative evaluation for human behavior – Introduction to Behavior-based Safety
Chair: Rieko Hojo, JP (National Institute of Occupational Safety & Health)
Co-Chairs: Shoken Shimizu, JP (National Institute of Occupational Safety & Health)
Yuka Koremura, JP (Koremura Giken ballast)
Keywords: Behavior analysis
Behavior-based safety (BBS)
Organizational behavior management (OBM)
Machinery safety
Reinforcement
Abstract: Now it is important to think about social system for man-machine collaboration because machine and human are existing in the same area. Especially, human behavior should be treated more scientifically as a part of the system. Behavior analysis is a study takes scientific approach for measuring human behavior. The goals of Behavior analysis are 1) prediction and control, 2) analysis and quantitative evaluation, and 3) problem solution of behavior. Here we introduce a principle of Behavior analysis. In addition, we propose application examples and show some experimental reports of Behavior analysis from basic and applied points of view in several research fields.

OS-BIO: Biomedical Data Processing & Its Applications to Multimedia
Chair: Takahiro Ogawa, JP (Hokkaido University)
Co-Chairs: Soh Yoshida, JP (Kansai University)
Ryosuke Harakawa, JP (Nagaoka University of Technology)
Keywords: Biomedical signal processing
Biomedical image & tensor processing
Collaboration with biological & multimedia data
Multimedia processing related to/inspired by biological concepts
Artificial Intelligence for multimedia processing
Abstract: Many studies related to biomedical data processing and its applications to multimedia have been intensively carried out in recent years. With the rapid development of technologies such as machine learning, it has been reported that the performance of many tasks whose targets are biological signals, medical images and tensors, multimedia data, etc. has been improved. This organized session aims at discussing such studies. The topics of interest in this organized session include, but are not limited to processing of biomedical signal, image and tensor data obtained by medical equipment and various kinds of sensors. This session also includes multimedia processing related to or inspired by biological concepts.

OS-DTS: Digital Technology for Seniors & the Elderly
Chair: Kingkarn Sookhanaphibarn, TH (Bangkok University)
Co-Chair: Piyarat Silapasuphakornwong, TH (Kanagawa Institute of Technology)
Keywords: Aging & Quality of Life
Digital Transformation in Healthcare for Senior & the Elderly
UX/UI design & implementation for Senior & the Elderly
Wellbeing in the Elderly
Abstract: As the aging population has been faster than ever, technology is advancing at rapid rate inmeeting the needs of the older people. This session is welcome for submitting research and review papers ranging from a large platform to a single device for promoting the well-being of seniors and the elderly. Both theoretical and experimental papers are also welcome such as theory, design, understanding, implementation or application of formal and informal health care needs, health and social policy, health of individuals living, assessing individual and population health trends.

OS-HIT: Future of Healthcare IoT
Chair: Yoshiharu Yamamoto, JP (The University of Tokyo)
Co-Chairs: Toru Nakamura, JP (Osaka University)
Taishin Nomura, JP (Osaka University)
Keywords: Healthcare
IoT
Biosignal processing
Dynamical systems
Machine learning
Abstract: The recent development of IoT technologies has provided a great impact on medical and healthcare fields. For example, wearable smart devices enabled us to continuously measure personal health-related data, such as heart rate, or physical activity, in daily life. Those IoT data are thought to have a great potential to diagnosis and early detection of diseases. Therefore, the establishment of a new framework to utilize them, especially methods to extract useful information associated with diseases or health-related risks (e.g. fall risk, sleep disorders, mental illness, or virus infection), have been focused. The proposed organized session will present recent researches aiming at the evaluation of health-related risks or early detection of disease onset, based on novel signal processing, machine learning, or mathematical modeling approaches.

OS-IDS: Innovative Design related to Smart Home Technology
Chair: Masao isshiki, JP (Kanagawa Institute of Technology)
Co-Chairs: Hiroshi Sugimura, JP (Kanagawa Institute of Technology)
Takashi Murakami, JP (Panasonic Corporation)
Keywords: Smart life
Innovative design
Application, Service
IoT device
Introduction of future life
Abstract: This session is focused on Smart Life and we want to discuss various kinds of innovative designs related to Smart Home technologies. We would like you to introduce the IoT devices, applications, and services that create Smart Life that you are trying to realize. Especially if you have innovative ideas even if you haven't made any real products yet, we want you to bring those innovative ideas. Either way, we would like you to participate in the discussion with the idea of creating a wonderful world. And we want to discuss the ideas of a future life with “technologies to create Smart Life” that realize a better world. We want to discuss the ideas with the better smart life of the future home here.

OS-ITM: Intelligent Techniques for Multimedia Communications
Chair: Feng-Cheng Chang, TW (Tamkang University)
Co-Chair: Hsiang-Cheh Huang, TW (National University of Kaohsiung)
Keywords: Multimedia compression
Multimedia retrieval
Multimedia security
Multimedia communications
Intelligent techniques
Abstract: Multimedia files, including compressed video, image, or audio files, are widely spread nowadays with the use of smart phones and the easy access to the wireless networks. The use of smart phones has influenced everyone’s life, and related technical problems would play import roles in life sciences and technologies. Intelligent techniques for multimedia communications would be the main theme of this session. These techniques may include multimedia compression, multimedia retrieval, multimedia security, multimedia transmission, and emerging topics for multimedia communications. With the inclusion of intelligent techniques like swarm intelligence or machine learning, the highly complicated problems for multimedia communications would be efficiently resolved. We welcome submissions with the topics relating to this session.

OS-PSY: Psychophysiological strategy of human-centered design
Chair: Motoharu Takao, JP (Tokai University)
Keywords: Psychology
Physiology
Product design
User experience
Virtual reality
Abstract: Human-centered design methodology is currently applied to almost all products and architectures. The most important strategy for human-centered design is psychophysiological measurement of human brain and organs. Psychophysiology is an interdisciplinary science that investigates physiological responses mediated by perceptual, cognitive and emotional processings in human brain. With psychophysiological measurement technology, we can evaluate user experiences such as perception, excitement, relaxation, and sleep. This technology also can detect lie, aversion and boredom. In this session, scientists, engineers, designers and students are expected to give presentations about their recent studies on the application of psychophysiological technologies to human-centered product designs. Studies on virtual reality technology in product designs are also encouraged to be registered for this session.

OS-QOL: QoL Improvement Technologies in Life Sciences
Chair: Tadaaki Ikehara, JP (Tokyo Metropolitan College of Industrial Technology)
Co-Chairs: Nobuo Funabiki, JP (Okayama University)
Kazuyuki Kojima, JP (Shonan Institute of Technology)
Keywords: Quality of life (QoL)
Assistive devices
Mobile devices and applications
Ambient technologies
Audio-visual technologies
Life-long learning & education
Abstract: This session aims to discuss technologies to improve the quality of human life. Recent technological advances and their applications have greatly improved our quality of life (QoL). However, while these technologies have enhanced our ability to understand and improve our daily physical and psychological health, social interactions, environmental conditions, and decision-making, the causal relationship between technology and improvements in individual QoL is not always clear. This session will cover technologies such as IoT and ambient technologies, mobile devices and applications, audio-visual technologies, and assistive devices as they relate to improving quality of life. However, it is not limited to these keywords.

OS-SHL: Sensing technologies and applications for human life support
Chair: Yuya Koyama, JP (Chiba Institute of Technology)
Co-Chair: Michiko Nishiyama, JP (Soka University)
Keywords: Sensors and actuators for monitoring human motion, activity, and vital signs
Data fusion using multi-sensors
Smart devices and materials, IoT, smart garments/textiles
Unobtrusive sensing for human life support
Sensor systems and applications
Abstract: A wearable and unobtrusive device is one of interests in the recent industries, such as human healthcare, sports, welfare, and rehabilitation. The devices have various sensors detecting physical parameters such as pressure, displacement, bending angle, and vibration. With these sensor technologies, human life support systems for improving quality of life can collect the information, which are human motion and vital signs, and use the data for decision-making without human intervention. This session focuses on the sensing techniques and applications to support human life. The topics in this session include, but are not limited to, sensors, actuators, devices, electronics, multi-sensor fusion, sensor systems, and intelligent system with machine learning.

OS-SIP: Intelligent Signal and Image Processing Technologies for Smart Life Applications
Chair: Chih-Peng Fan, TW (National Chung Hsing University)
Co-Chair: Yu-Cheng Fan, TW (National Taipei University of Technology)
Keywords: Deep learning technologies
Image processing technologies
Biometric recognition technologies
Physiological signal processing technologies
VLSI & circuit implementations
IoT based systems or edge devices
Abstract: For our smart life, the deep-learning based image processing and intelligent signal processing technologies have been widely developed recently. To expand the smart life products for human well-being, the future edge devices and systems can achieve the goal by adopting the deep-learning based smart signal and image processing methodologies, which will contain image object detection and physiological signal processing technologies for disease diagnosis, image enhancement and pattern classification for smart devices, biometric data recognition for smart security systems, smart IoT-based signal and image processing systems for elderly, children, or patient, etc. This session will include the creation of deep learning based intelligent signal and image processing technologies with innovations by edge computation and chip implementation for smart life applications.

OS-STM: Sensing Technology for Telemedicine
Chair: Toru Kiryu, JP (Niigata University)
Co-Chair: Naoki Kobayashi, JP (Saitama Medical University)
Keywords: Sensing technology for telemedicine
Integrated telemedicine system
Application technology for telemedicine
Abstract: Because of covid-19, telemedicine is very important in Japan and all countries. In this session we focused on combining of sensing and communication technology to solve a problem for tele-medicine. The aim of this special session is to attract participants for new proposals and discussions on sensor technology for telemedicine, integrated telemedicine system design and application technology for telemedicine.