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In this study, we developed rehabilitation software for SEMUL (simple exercise machine for upper limbs). SEMUL has eight software routines; however, these routines do not manage to combine quantitative evaluation with user amusement. To solve this problem, we developed training software in the form of coin-collecting software. In addition, we developed the coin-collecting software such that it was...
This study aims to develop a state transition model and speech recognition module for application to a whole-body patient simulator for scenario based training (SBT) of neurological examination procedures. These procedures are very important for the early identification of neurological system disorders. In neurological examinations, the doctor selects procedures by situation of patients, interacts...
Lower extremity exoskeletons are intelligent wearable robots that integrate human intelligence with the strength of humanoid robots. Recently, lower extremity exoskeletons have been developed for rehabilitation and assistance of paralysis patients. This paper presents design of a novel anthropomorphic lower extremity exoskeleton with compatible hip joints and knee joints that help paralysis patients...
Dexterous hand and arm function are crucial for execution of activities of daily living (ADLs). However, it remains difficult for patients with neurological deficits, such as stroke, to recover the lost function. In this paper, a versatile haptic interface, omega. 7, has been employed to interact with the patient to perform designed dexterous manipulation tasks. Following the neurocognitive approach,...
Person re-identification is to match persons appearing across non-overlapping cameras. The matching is challenging due to visual ambiguities and disparities of human bodies. Most previous distance metrics are learned by off-line and supervised approaches. However, they are not practical in real-world applications in which online data comes in without any label. In this paper, a novel online learning...
In robotic application, flexible actuator is the end terminal parts. Rigid actuators are accurate but have poor security and practicability. This paper designed a new type of pneumatic dexterous hand — flexible three-fingered hand. The flexible three-fingered hand grasping pattern can be divided into griping, grasping and holding. The pattern classification of flexible three-fingered hand is designed...
With the development of artificial intelligence and pattern recognition, facial expression recognition plays a more and more important role in intelligent human-computer interaction. In this paper, we present a model named K-order emotional intensity model (K-EIM) which is based on K-Means clustering. Different from other related works, the proposed approach can quantify emotional intensity in an...
This paper develops a hemiplegic walking functional recovery training device. This paper proposes a power assist mechanism, hip joint and knee joint motion adaptation mechanism based on the movement of the joints of the human body, mechanism corresponding to the individual differences in body shape, and mechanism to prevent side-overturning. The designed prototype of the device, then the effectiveness...
This paper presents a lower limb rehabilitation robot based on free gait and virtual reality, which is intended to improve therapeutic efficacy. With the help of the robot, patients with motor disabilities can walk with free gait in a virtual environment and choose between passive and active training modes. So the impaired limbs can get appropriate exercise in all clinical stages and the motivation...
With the rapid development of computer vision, the Internet and robot technology, it's potential to develop a telepresence robot for providing service for people who need a real avatar. We present a real-time vision-based telepresence robot hand control system, including the hand detection, hand tracking, hand recognition, 3D hand position and hand control modules. From our experiments, the composition...
In general, it is difficult to construct an object recognition system, because such a system has many design variables and often these cannot be designed independently. However, in certain manufacturing tasks, it is not always necessary to design all variables. In this study, we selected a picking task as the target task for the experiment. We restricted the design variables to parameters of the preprocessing...
In this paper, a new method based on deep learning for robotics autonomous navigation is presented. Different from the most traditional methods based on fixed models, a convolutional neural network (CNN) modelling technique in Deep learning is selected to extract the feature inspired by the working pattern of the biological brain. This neural network model has muti-layer features where the ambient...
In this paper, we propose a novel learning-based approach for single image dehazing. The proposed approach is mostly inspired by the observation that the color of the objects fades gradually along with the increment of the scene depth. We regard the RGB values of the pixels within the image as the important feature, and use the back propagation neural network to mine the internal link between color...
Cranial nerve examination takes an important role in the physical examination. All the medical staffs need to be trained to master the skills for examination. By now, several training methods have been carried out for medical training including training with the simulated patient (SP). However, considering the characters of eyeball, the involuntary actions cannot be simulated by Sp. With the developments...
Real-time performance can be greatly improved, if the early recognition is implemented. In this paper, a dynamic hand gesture early recognition system is proposed. The system can recognize the gesture before it is completed. Our method is based on the Hidden Semi-Markov Models. Three-dimensional information of the gesture trajectory collected by leapmotion is the main data we used. Experiments on...
Considering stability problems of the current corridor recognition algorithm based on laser scanner, this paper proposes a method for mobile robot fast laser-based corridor recognition. Firstly, Median filter is used to deal with the laser scan to reduce the noise. Then, it employs segmentation method to cluster the data to remove some isolated points. After that, it is feasible to calculate the direction...
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