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One main difficulty in applying action recognition to practical applications is the need to segment beginnings and ends of actions in a continuous online monitoring process. This paper proposed a finite state machine (FSM) model for automatic action segmentation and recognition solution, based on pose streams in the form of skeleton joint data provided by Kinect. With the action recognition problem...
In this paper, an adaptive proportional integral derivative (PID) based on radial basic function neural networks (APID-RBFNs) is proposed for tracking control of a 2 degree of freedom (DOF) parallel manipulator. For developing the controller, a dynamic model of this parallel manipulator is developed based on a matrix form equations. APID-RBFNs is designed to overcome external disturbances and complex...
In this paper, a non-preprocess calibration of depth image is proposed Take advantage of FCM to acquire the depth value distribution in the depth image. After that, according to relation among all the centroids of cluster, the real distance is estimated. Then, the error of the depth value is able to be compensated. When utilize the proposed method, plenty of pre-process for calibration can be avoided,...
In this paper, a detailed study to apply an adaptive proportional-derivative networks (APDNs) tracking control is proposed for redundant parallel manipulators with full-state constraints. APDNs is designed — based on the combination of the nonlinear compensation, the PD nonlinear sliding part, and feedforward radial basic function neural networks (RBFNs) with online learning. By using the Lyapunov...
In this paper, a novel approach is introduced for tracking human targets in cases of high influence from complexity of environment. In real world applications, the need of interaction in real time between a tracking system and human plays an important role. In the proposed approach, a RGB-D camera is utilized to acquire the depth information which is considered to define the Depth Of Interest (DOI)...
A simple and economical system is developed to detect human breath in a real time fashion with a normal webcam. By using the optical flow method, a novel approach is proposed to detect the peak of inspiratory phase from a series of frames that are captured from a camera to define the time for trigging X-ray shooting. The issue of using images to detect breath is that the motions of respiratory features...
This paper is to report our study on the moving object detection from surveillance images. For motion detection, some existed methods are used to find specific features between images and then to define the moving speeds of objects. However, human-created features may be difficult to define and to acquire especially when the objects are unknown. In this paper, the scale-invariant feature transform...
A novel design approach is proposed for indirect adaptive fuzzy decoupling control which is used in the lower limb exoskeleton. In the study, the fuzzy system is used to approximate the unknown system. Furthermore, in the lower limb exoskeleton, the coupling parameters are unknown as the disturbance values from the different subsystems. The paper proposes an reduced adaptive function to approximate...
The paper presents an improved redial basis function network to degrade the influence of the heteroscedasticity noises in the training data. A general purpose learning algorithm is regarded as the statistical nonlinear regression model which is assumed the constant noise level. However, the heteroscedasticity noises always exist in the real data. The transformation based least trimmed squares-support...
Quality of X-ray image plays an important role in diagnostic results. The traditional method for taking x-ray image depends on the operator's judgments and requires high professional quality of the radiologist. The quality of X-ray image for chest region obtains the best results when the ribcage is full air. That corresponds the peak time of inhaling cycle. In this paper, we use a depth camera of...
A vision-based hand gesture recognition system is considered in this paper. Unlike other hand gesture recognition studies, our study considers a complicated background and possible dynamic motion of hands. Thus, instead of using simple background subtraction, in this study, many problems are considered, such as detection of skin color image, detection of when a hand reaches in the field of the camera...
The paper proposes a novel method for enhanced fusion adaptive fuzzy control in the two-wheeled balancing six degrees of freedom robotic arm. The two-wheeled mobile robot system and six degrees of freedom robotic arm are integrated into the mobile robot system. Due to the motion of the robot arm, the stability issue becomes more complex. This study employs the adaptive fuzzy control to provide suitable...
Deep learning has recently exhibited good performance in many applications. The convolution neural network is an often-used architecture for deep learning and has been widely used in computer vision and audio recognition, and outperformed other related handcraft designed feature in recent years. These techniques compared to other artificial intelligence algorithms and handcraft features need extremely...
This paper presents an adaptive intelligent steering controller using backstepping sliding-mode control and recurrent wavelet fuzzy cerebellar model articulation controller (RWFCMAC) and for an uncertain ball-riding human transporter in presence of significant system uncertainties. The proposed controller operates at two independent modes: self-balancing and station keeping. The self-balancing mode...
Autonomous mobile robots have been developed in many types and functions so far. This paper mainly presents the functionalities of self-made tracked robots and its practicality. The robot can move, patrol, and cross floors autonomously in indoor environments. With the information gotten from the Xtion sensor, the movement modes developed in this paper help the tracked robot identify different environments...
A fuzzy-based magnetic suspension vibrator (FMSV) is designed and embedded into electrical wheelchair to promote its shock absorbing ability. Magnetic levitation system (MLS), using the electromagnetic force to float, rotate or move a suspended object, is a non-contact operation mode. This mode can effectively reduce the mechanical vibrations, friction and wearing loss caused by contact operation...
Redundancy, a method being designed to prevent failures due to software/hardware problem, is one of the most common applications in fault-tolerance systems. In this paper, we provide a multi-root I/O virtualization (MR-IOV) based redundant system architecture which supports high performance, reliability, and scalability to improve conventional redundant architecture with hardware multiplexer for the...
Recently, the interval-valued data analysis is popular research topic in symbolic data analysis (SDA). For some of applications, it is natural to use interval-valued data because of uncertainty existing in the measurements, variability for defining a term (the minimum and the maximum temperature during a day), extremely behavior description (maximum wind speed in a given country), etc. However, the...
In vision-based autonomous landing, the accuracy of GPS signal and the efficiency of target tracking and detecting will affect the performance in autonomous landing system. This paper presents a method of cooperation among two aerial mobile robots at high altitude and low altitude for autonomous navigation and landing. Fully utilizing the extensive vision and high flexibility on the high-altitude...
Microarray analysis had been became a widely used tool for disease detection. It used tens of thousands of genes that would be a huge computational problem. The proposed approach applied feature genes selection and classification with support vector machine (SVM) for the microarray data of lung tissue. Based on the proposed approach, feature genes could be finding out according to the epsilon-support...
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