Search results for: Takenori Obo
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Aging society in Japan can be a big serious problem. However, the number of caregivers is currently not enough, and it is not expected to sufficiently increase in future. Elderly care has been shifting from hospital care to community-based care and home care, but this can lead to raise the burden on their family members. Therefore, elderly people should take care of their heath in daily life in order...
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Performance of neural network learners is often dependent on initializing conditions. There is often a trade-off between processing speed and the generalization ability of the classifier. Using extreme learning machines, a two-stage evolutionary algorithm is proposed for feature selection and setting hidden layer size, as well as to select classifiers for ensembles. Bayesian Information Criterion...
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This paper presents a monitoring system with an ultrasensitive vibration sensor to detect heartbeat. The likelihood of fatal accident while bathing in Japan is higher than any other European country. The domestic accidents at bathroom have increased 1.7-fold over the past 10 years. Monitoring systems in a bathroom are therefore needed to prevent accidents that can't be foreseen. In this study, we...
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Applied Soft Computing > 2017 > 52 > C > 81-92
The worlds population is quickly aging. With an aging society, an increase in patients with brain damage is predicted. In rehabilitation, the analysis of arm motion is vital as various day to day activities relate to arm movements. The therapeutic approach and evaluation method are generally selected by therapists based on his/her experience, which can be an issue for quantitative evaluation in any...
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Walking motion generator of multi-legged robot is very complicated operation because there are many degrees of freedom required to be considered. Especially in computational intelligence approach, many iterative calculations are required for convergence the result. Furthermore, in case of the change in environment has to recalculate the walking motion again and then increase of the calculation cost...
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This paper described a view about using remote robots in Community-centric Systems. However, the interaction of a complete community is extremely complicated. In this study, we focus on single part of case in the community: In community, people have same hobby are likely to play and discuss together. But people who have uncommon hobbies are difficulty finding a comrade. We suggest to using partner...
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Recently, various types of daily life monitoring methods have been proposed for elderly care. We have proposed the concept of informationally structured space (ISS) and applied ISS using robot partners and sensor network devices to daily life monitoring. One of the most important roles in daily life monitoring is anomaly detection. Anomaly detection is to identify or detect items, events or data not...
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This paper proposes a method of imitative motion generation for smart device interlocked robot partner. Imitation is an essential ability for robot partners to provide human like communication. In this study, we have developed a robot simulation for testing human-like motion patterns on a various types of body structure. Moreover, we apply a neuro-genetic approach to generate imitative motions for...
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This paper presents a health promotion system implemented into a smart device interlocked robot partner. Health promotion is one of the most important tasks for supporting elderly people. To heighten awareness about health, suitable knowledge of healthcare should be provided to elderly people improving their motivation. In the proposed system, the robot partner can give some quizzes to the user. The...
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This paper presents a method for generating an optimized ensemble of fuzzy extreme learning machines (FELM) using a combination of genetic algorithms with a Bayesian Information Criterion (GA-BIC) fitness function. The operation of the FELM is equivalent to that of a fuzzy inference system, and is used for learning and classifying a given data set. The relative simplicity of the FELM structure enables...
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Many works of human posture recognition have been published in the literature. Gesture and posture recognition by using Kinect Sensor is an important technique for many types of application. In this paper, we apply a neuro-fuzzy system for classification of human posture. A recent approach of learning algorithm for Single-layer hidden feedforward neural network (SLFN), known as Randomized Neural Network...
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Recently, the number of elderly people living alone is increasing and has become a serious problem in Japan. On the other hand, the stability of both social rhythm and biological rhythm is very important for extension of healthy life expectancy. It is difficult for elderly people to understand the current stability of social rhythm and biological rhythm in daily life. Therefore, we propose several...
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Applied Soft Computing > 2016 > 42 > C > 377-389
One of the most important techniques in human-robot communication is gesture recognition. If robots can read intentions from human gestures, the communication process will be smoother and more natural. Processing for gesture recognition typically consists of two parts: feature extraction and gesture classification. In most works, these are independently designed and evaluated by their own criteria...
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Lecture Notes in Computer Science > Intelligent Robotics and Applications > Computational Intelligence > 220-228
This paper proposes a universal remote controller using iPhone for elderly people. First, we discuss system configuration of universal remote controllers for elderly people in informationally structured space. The developed system is composed of database management server PC, physical robot partners, environmental systems, and human interface systems. Next, we explain human interface of universal...
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In this paper, we focus on behavior pattern extraction using sensor networks and portable sensing system. Behavior analysis is one of the most important tasks, which provides suitable information service to users. This paper proposes a pattern extraction method based on growing neural networks. The learning system is composed of two modules for feature extraction and contextual relation modeling using...
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In this study, we aim to develop a system for improving daily lives of elderly people to ensure health. In order to realize an enriched life style among elderly people, daily health care is important. Therefore, we have proposed a system where robot partners will assist in exercising activity among elderly people. This paper proposes a method of relational trust modeling based on reinforcement learning...
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If a robot partner can provide a multimodal interaction with a person, it may offer more smooth and natural human-robot communication. This paper proposes a method for modeling relationship between behavioral and emotional expression through human-robot interaction. First, we applied a neuro-fuzzy system to the classification of human posture. Next, we used the facial expression recognition algorithms...
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In order to keep healthy health of elderly people, daily exercise is an important factor. Therefore, we have developed an exercise support system with robot partner to provide the daily exercise program. Furthermore, Human-like-motion can have a contribution to exert a strong influence on the person through the human-robot interaction, because bodily expressions convey important and effective information...
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As the number of elderly people living alone increases, more caregivers are required to support the aging society. Such elderly people have little chances to communicate with other people and are likely to be socially isolated. The monitoring system is one of possible solutions to confirm the safety of elderly people. Sensor network or portable sensing devices can be applied to such monitoring systems...
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Posture recognition is one of the most important techniques for human-robot communication. If robots could read personal intention from the human postures, the communication would become more smooth and natural. Many works of human posture recognition have been published in the literature. Gesture and posture recognition by using Kinect Sensor is an important technique for many types of application...
