638 research outputs found

    Virtual Reality Games for Motor Rehabilitation

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    This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

    Unmanned Robotic Systems and Applications

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    This book presents recent studies of unmanned robotic systems and their applications. With its five chapters, the book brings together important contributions from renowned international researchers. Unmanned autonomous robots are ideal candidates for applications such as rescue missions, especially in areas that are difficult to access. Swarm robotics (multiple robots working together) is another exciting application of the unmanned robotics systems, for example, coordinated search by an interconnected group of moving robots for the purpose of finding a source of hazardous emissions. These robots can behave like individuals working in a group without a centralized control

    EG-ICE 2021 Workshop on Intelligent Computing in Engineering

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    The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

    書き換え可能なゲートアレイを用いた無作為抽出法に基づく実時間画像処理に関する研究

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    長崎大学学位論文 学位記番号:博(工)甲第53号 学位授与年月日:平成30年3月20日Nagasaki University (長崎大学)課程博

    Intent prediction of vulnerable road users for trusted autonomous vehicles

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    This study investigated how future autonomous vehicles could be further trusted by vulnerable road users (such as pedestrians and cyclists) that they would be interacting with in urban traffic environments. It focused on understanding the behaviours of such road users on a deeper level by predicting their future intentions based solely on vehicle-based sensors and AI techniques. The findings showed that personal/body language attributes of vulnerable road users besides their past motion trajectories and physics attributes in the environment led to more accurate predictions about their intended actions

    User Experience Enchanced Interface ad Controller Design for Human-Robot Interaction

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    The robotic technologies have been well developed recently in various fields, such as medical services, industrial manufacture and aerospace. Despite their rapid development, how to deal with the uncertain envi-ronment during human-robot interactions effectively still remains un-resolved. The current artificial intelligence (AI) technology does not support robots to fulfil complex tasks without human’s guidance. Thus, teleoperation, which means remotely controlling a robot by a human op-erator, is indispensable in many scenarios. It is an important and useful tool in research fields. This thesis focuses on the study of designing a user experience (UX) enhanced robot controller, and human-robot in-teraction interfaces that try providing human operators an immersion perception of teleoperation. Several works have been done to achieve the goal.First, to control a telerobot smoothly, a customised variable gain con-trol method is proposed where the stiffness of the telerobot varies with the muscle activation level extracted from signals collected by the surface electromyograph(sEMG) devices. Second, two main works are conducted to improve the user-friendliness of the interaction interfaces. One is that force feedback is incorporated into the framework providing operators with haptic feedback to remotely manipulate target objects. Given the high cost of force sensor, in this part of work, a haptic force estimation algorithm is proposed where force sensor is no longer needed. The other main work is developing a visual servo control system, where a stereo camera is mounted on the head of a dual arm robots offering operators real-time working situations. In order to compensate the internal and ex-ternal uncertainties and accurately track the stereo camera’s view angles along planned trajectories, a deterministic learning techniques is utilised, which enables reusing the learnt knowledge before current dynamics changes and thus features increasing the learning efficiency. Third, in-stead of sending commands to the telerobts by joy-sticks, keyboards or demonstrations, the telerobts are controlled directly by the upper limb motion of the human operator in this thesis. Algorithm that utilised the motion signals from inertial measurement unit (IMU) sensor to captures humans’ upper limb motion is designed. The skeleton of the operator is detected by Kinect V2 and then transformed and mapped into the joint positions of the controlled robot arm. In this way, the upper limb mo-tion signals from the operator is able to act as reference trajectories to the telerobts. A more superior neural networks (NN) based trajectory controller is also designed to track the generated reference trajectory. Fourth, to further enhance the human immersion perception of teleop-eration, the virtual reality (VR) technique is incorporated such that the operator can make interaction and adjustment of robots easier and more accurate from a robot’s perspective.Comparative experiments have been performed to demonstrate the effectiveness of the proposed design scheme. Tests with human subjects were also carried out for evaluating the interface design
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