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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...
Measurement accuracy of Position Sensitive Detector (PSD) can be greatly affected by inaccuracies in interface circuits, system connections, outside environmental changes and the semi-conductive properties of the sensor. The presence of these factors causes noises and distortions that heavily degrade the performance of the PSD and any system built on it. This work addresses improving measurement accuracy...
With the advantages of small size and low cost RSSI-based ranging and positioning technology is suitable for the large-scale applications or indoor environments. Whereas multipath structure of indoor radio channel caused by complex indoor environment, as well as the far field conditions of antennas are not feasible due to the short propagation distance, have a strong impact on indoor positioning accuracy...
Fast and robust traffic sign recognition is very important but difficult for the safety driving assist systems. This study addresses the fast and robust traffic sign recognition to enhance safety driving. We first adopt the typical Hough transform methods to implement coarse-grained locating of the candidate regions (shapes of rectangle, triangle and circle, etc.) of the traffic signs; and then propose...
This paper focused on improving the movement accuracy of PMs on the end-effector. Lots of sensors will be used to joints as possible, Some joints with better error performance than original driving joints at each position in the work space will be identified by using error evaluation measures, and their movement information will be transfered to driving joints to realize movements of the end-effector.
Brain-computer interface (BCI) is currently developed as an alternative technology with a potential to restore lost motor function in patients with neurological injuries. In this paper, we describe an integrated system of a non-invasive electroencephalogram (EEG)-based BCI with a non-invasive functional electrical stimulation (FES). This system enables the direct brain control of upper limbs to achieve...
Robot localization is one of the hottest research spots. Many scholars have studied the landmark localization which is cheap, stable, and simple in the indoor environment. This paper presents a low-cost localization system based on the artificial landmarks with two degree of freedom platform camera. The landmarks are put on the ceiling in order to decrease the interference. A 2-DOF pan-tilt has been...
This paper presents a novel scheme for Vanishing Points (VPs) estimation and lanes identification through monocular images of mobile robots. VPs detection based on probable vanishing direction hypothesizes and Bayesian posterior probability verification in image Hough space is a foremost contribution. VPs estimation is an optimal resolution based on a weighted objective function. The selected linear...
Life science researches and clinical experiment involve the positioning of the polar body. The microinjection operation of mammalian oocytes has been more and more widely used. In many cell manipulation researches, researchers need to operate the polar body of an oocyte under optical microscopy to achieve the purpose of the study. Recently, the automatic detection technology develops rapidly. The...
In this paper, a new compliant parallel mechanism driven by piezoelectric actuators is designed, which is a modified structure from our previous designed stage. In order to compensate the limited stroke of PZT, the secondary amplification mechanism was adopted in this design, and also the matrix method is utilized to calculate its stiffness and compliance for this compliant mechanism. In practical...
This paper presents that support vector machine (SVM) is used to classify three gait patterns: level walking, stair ascent and stair descent based on ground reaction force (GRF). The recognition process consists of three stages: i) a three layers wavelet packet analysis is used for feature extraction, with which squared and standard deviation of decomposition coefficients compose features; ii) with...
Gratings tiling refers to assembling serial small-sized sub-gratings, to make them into a single integral large aperture grating by means of mechanical process, which is mainly used for pulse compression in the high-energy laser system. In order to ensure that the parallelism and coplanarity between the sub-gratings meet high requirements of submicron level, the grating tiling device itself needs...
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...
In this paper we introduced a new method to optimally select the time window for a single-trial classification problem in BCI system. As a hybrid-BCI, we combine EEG and NIRS signals to improve the performance of BCI system. Since there's a coupled relationship between EEG and NIRS, we try to define the activation state of subject's brain according to the changes of hemoglobin. We therefore defined...
This paper presents a novel rehabilitation assistive device called a “parallel link type human ankle rehabilitation assistive device (PHARAD).” It can accurately measure foot motions in six degrees of freedom and reproduce the ankle joint motions. By reproducing the input motions of the ankle joint, PHARAD conducts passive exercises for ankle rehabilitation. To measure and reproduce complex foot motions,...
Recently, approaches utilizing spatial-temporal features have achieved great success in human action classification. However, they typically rely on bag-of-words (BoWs) model, and ignore the spatial and temporal structure information of visual words, bringing ambiguities among similar actions. In this paper, we present a novel approach called sequential BoWs for efficient human action classification...
In the recent years, contour-based shape representation is an important issue in the object recognition research area. In this paper, a new shape descriptor A-DCE is proposed based on DCE and DP for contour deformation and recognition. Firstly, the object contour is evolved adaptively by DCE to extract the contour information with important visual parts. Secondly, the costing feature descriptor is...
In order to avoid the over-segmentation problem caused by original watershed transform and improve the segmentation precision of Mycobacterium Tuberculosis (MTB) images, a novel segmentation algorithm is proposed based on automatic-marker watershed transform. The automatic marker is accomplished by Gaussian weighted adaptive threshold segmentation and local minimum points search within gradient image...
The state-of-the-art person identification and verification technologies require apparent human biological features as inputs explicitly. In many special scenarios, however, it is impossible to obtain the apparent human biological features since such features usually require intrusive human interaction directly. In this paper, we have proposed a hierarchical skeleton feature model (HSFM) for person...
In real-time anomaly detection problems, reducing the dimensionality and improving recognition rate are two most crucial problems. The unbalanced data distribution is one of main reasons of leading to low recognition rate. In this paper, a hybrid approach using Tabu search (TS) and ensemble classification algorithm is proposed. Tabu search is simultaneously applied to select features and weights of...
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