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- 摘要
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- 实验方案
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Optical measurements based on practical methods for detecting time-wise morphing structures
摘要： Nowadays non-contact measurement methods have become widely used systems in several fields especially robotics, aerospace, architecture, and cultural heritage. Practical devices, taken from mass markets, are increasingly being used in scientific and engineering research fields thanks to their ability to combine good accuracy with to the low-cost and ready-to-use experimental setup. In the present paper, digital image analysis (based on digital camera devices) and three-dimensional scanning technique (based on Kinect I and Kinect II sensors) are compared to evaluate their performance in detecting a time-wise shape modification. Digital camera and Kinect sensors are used to the non-contact detection of a morphing blade able to modify its geometry according to airflow temperature variation. The comparison showed the capability of the digital image technique to provide quantitative information when a proper alignment is adopted, while the three-dimensional scanning process allows the continuous blade detection useful to quantify the shape modification. Two-dimensional and three-dimensional blade shape reconstruction processes are also discussed.
关键词： Reverse Engineering,Non-contact measurement,Point cloud,Kinect sensor,Optical method,Digital image analysis
更新于2025-09-23 15:23:52
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Training of Hand Rehabilitation Using Low Cost Exoskeleton and Vision-Based Game Interface
摘要： Motivating game-based training have the potential to improve therapy for people with neurological impairments. In recent years, the serious games have become extremely useful tools in rehabilitation field. They aim to stimulate the mobility of the body through an immersive experience that puts the user in interactive virtual environment. This paper is concerned about developing a customized augmented reality system for stroke rehabilitation. This will be done through integrating an interactive serious game interface with a hand exoskeleton device. This game-based rehabilitation system allows users to carry out physical rehabilitation therapies using a natural user interface based on Kinect’s skeletal tracking features and the electromyography (EMG) sensor. During game playing, the interactive user interface provides useful real-time feedback information such as the time required to grasp a desired dynamic virtual object, and the assigned score and thus the ability of the proposed system to provide a compensatory action regarding the dynamic behavior of the virtual target. The main goal of the developed virtual environment is to create positive influences on the rehabilitation process. Patient movement information and signals obtained from the developed exoskeleton device are used together to monitor the rehabilitation progress. The developed exoskeleton hand is a 3D printed low cost device suitable for grasping tasks that can be used even for domestic stroke patients. The developed exoskeleton device is not only a mechanical system able to perform the rehabilitation act but also it presents an effective tracking and traceability software solution. The EMG signals measured during hand motion are used to detect the intention of hand opening or closing which in turn will actuate the mechanical structure to accomplish the desired task. Parameters and results of patients’ exercises are stored and analyzed when needed to evaluate patients’ progress. The developed system is tested experimentally and it is able to restore the functions of the upper limb and mainly give patients more motivation to undergo the rehabilitation exercises.
关键词： Robotic exoskeleton,EMG control,Kinect sensor,3D printing,Stroke rehabilitation
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Athens, Greece (2018.8.12-2018.8.15)] 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Key Frame Extraction of Skeleton Joint Based on Kinect Sensor
摘要： In order to reduce the computational complexity and improve the recognition accuracy for human activity recognition based on Kinect sensor, this paper presents a key frame extraction method of 25 skeleton joint points based on Kinect sensor. This method takes the skeleton joint points as a whole to express the depth of the human body, and uses the structural similarity of the skeleton to determine the key frames. The results show that the extraction of features is discriminative. Based on the results, it further refines the core findings, significance of the research, and suggestions for future studies.
关键词： kinect sensor,skeleton joint,feature extraction
更新于2025-09-11 14:15:04
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[IEEE 2018 1st International Cognitive Cities Conference (IC3) - Okinawa, Japan (2018.8.7-2018.8.9)] 2018 1st International Cognitive Cities Conference (IC3) - Hand Gesture Recognition Using Color-Depth Association for Smart Home
摘要： This study we propose a robust hand gesture segmentation method which associates the depth and color information with online training. Different existing methods, when the hands close to the body part or in cluttered background, our system remains valid. In the proposed method, a judging procedure of the hand point is applied to obtain more accurate result. As Kinect sensor has relatively large errors in acquisition of depth data at the edge of the object, this will lead to the wrong results with the depth threshold in coarse segmentation step. To compare with the existing systems, the proposed method is the least restrictive one in practically.
关键词： online training,Kinect sensor,Depth,ellipse model,hand gesture segmentation
更新于2025-09-09 09:28:46