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It could be very important and useful to enable human stress to be estimated on basis of quantitative values via objective analysis. There have been several approaches to estimate the stress so far. Most of them need a lot of time to measure or calculate it, and what is more, they might cause physical or mental burden for human subjects. The purpose of our study is to propose and develop a method...
Walking is a fundamental human ability necessary for everyday life. We have developed an omnidirectional walker (ODW) for walking support to those who have walking disabilities. It is necessary for the ODW to know which direction the user is intending to go during walking support. A novel interface is proposed for the ODW to recognize directional intention according to the user's forearm pressures...
In this paper; a fuzzy logic have designed to the control of an automatic door. Input status (WS: Walking Speed and DD: Distance Door) and the output status (DOS: Door Opening Speed) is determined. According to these statuses, rule bases (25 rules) have obtained. And the rules bases have been processed by a fuzzy logic and have tried to control of an automatic door. As a result; in this study, we...
A simple generic motion detection scheme suitable for use in gestural interfaces (GI) embedded with an accelerometer and is wirelessly connected to a PC is proposed. It consists of three processes, namely motion decomposition, wireless communication and motion pattern matching. Motion decomposition is performed within the GI on the human gestures to generate sequences of motion directions. Translational...
An embedded 3D body motion capture system for an assistive walking robot is presented in this paper. A 3D camera and infrared sensors are installed on a wheeled walker. We compare the positions of the human articular joints computed with our embedded system and the ones obtained with an other accurate system using embodied markers, the Codamotion. The obtained results valid our approach.
We introduce a concept that allows attendees of a party to collaboratively influence the music selection process. As explicit feedback is likely to disturb the atmosphere, we introduce an unobtrusive, implicit feedback mechanism. In particular, we propose to sense the partygoers' dance engagement by means of their mobile phones. Since people tend to dance more when they enjoy the music, this metric...
In recent years advanced robotic technology has seen more use in the medical field to assist in the development of efficient training systems. Such training systems must fulfill the following criteria: they must provide quantitative information, must simulate the real-world conditions of the task, and assure training effectiveness. We developed Waseda Kyotokagaku Airway series to fulfill all of those...
This paper presents a framework for modelling the interaction between a human operator and a robotic device, that enables the robot to collaborate with the human to jointly accomplish tasks. States of the system are captured in a model based on a partially observable Markov decision process (POMDP). States representing the human operator are motivated by behaviours from the psychology of the human...
Multi-robot map building has advanced to the point where high quality occupancy grid data may be collected by multiple robots collaborating with only intermittent connectivity. However, the tasking of these agents to most efficiently build the map is a problem that has seen less attention. Unfamiliar, highly cluttered environments can confound exploration strategies that rely solely on occupancy grid...
This article introduces a method called SLAC (Simultaneous Localization And Capture) to track the spatial location of a human using wearable inertia sensors without additional external assistive global sensing device (e.g., camera, ultrasound, IR, etc.) The method uses multiple wearable inertia sensors to determine the orientation of the body segments and lower limb joint motions. At the same time,...
Recently, laser-based people-tracking systems have received increasing attention for their ability to localize human subjects precisely in crowded situations. However, in a real environment, there exist many kinds of moving objects other than people, and previous methods have focused only on humans. To design a more sophisticated system, it is necessary to distinguish humans from observed objects...
The increased popularity of the proactive security paradigm aggravated the need for distributed surveillance systems. These systems are built using smart sensor networks which cover large areas of civilian concentration. Such networks need intelligent management systems to control the large number of sensor nodes and the large volume of data. Sensor Management Frameworks (SMF) aim to coordinate the...
Intelligent machining means a blend between machining processes (turning, milling, drilling, grinding) and sensors, intelligent monitored by hardware and software applications dedicated to this task. From hardware point of view, today the sensors are incorporated by default in all machining equipments, but the intelligence is mostly human. Further researches try to replace the human decisions with...
In the domain of intelligent collaboration, the application of semantic information is a prospective research field. The collaboration system of the forthcoming generation is expected to consist of semantic services of applications as well as semantic human-machine interpretation. In this paper, a simple example of such a system is introduced. Based on this example system, the operation of semantic...
We address the problem of searching for moving targets in large outdoor environments represented by height maps. To solve the problem we present a complete system that computes from an annotated height map a graph representation and search strategies based on worst-case assumptions about all targets. These strategies are then used to compute a schedule and task assignment for all agents. We improve...
In our earlier papers [1] and [2], we have proposed a jail-based enforcement mechanism for cognitive radios inspired by the human criminal justice system. In the previous papers, we covered a throughput-greedy cognitive user, and in this paper, we extend those results to devices that care about energy, as well as mixed devices that care about both energy and time. We do this by introducing a ‘singing’...
This research presents a system that provides useful information by data mining. The system collects human motions to process data mining, and uses the result to detect human intention, and then provide service. The system includes three parts: the input devices part that is to collect data, the server part that is to analyze and process the data mining, and the client part that is to provide service...
Emergency maneuvering systems can take control of a vehicle in high-risk situations caused by distracted, fatigued, or careless drivers, which can reduce the frequency and severity of collisions. But in order to override the user's control the vehicle must reason with uncertain information: sensing provides noisy and partial input, vehicle dynamics models are never perfectly calibrated, and other...
We are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find...
A new modeling method of human behaviors is proposed in this paper. In the proposed method, it is assumed that a person changes his behavior according to the change of the situation around him, and this concept is expressed by If-Then-Rules, which are called behavior rules. In behavior rules, a human behavior is described as a discrete event, and the change of the situation around a person is described...
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