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This paper presents hand grasp classifier using perimeter change of the forearm. Two sensors based on strain gauge were employed. Signal processing was applied to remove some ripples. Four different classes were trained. Real time classifier was used to recognize the trained grasps. Experimental results show that the average accuracy was 81.2%.
In order to have a rich representation for human action, we propose to combine two complementary features so that a human posture can be characterized in more details. In particular, the distance signal feature and the width feature are combined in an effective way to enhance each other's discriminating capability. The resulting feature vector is quantized into mid-level features using k-means clustering...
This paper introduces the design of a real time vision-based motion synthesis system. the system requires user to wear the markers in a certain color. Based on that, several novel algorithms were used for feature detection and feature tracking under occlusion by estimating the velocity of missing features based on the prior, smoothness and fitness term. These algorithms ensured the accuracy and low...
Detecting objects in underwater image sequences and video frames automatically, requires the application of selected algorithms in consecutive steps. Most of these algorithms are controlled by a set of parameters, which need to be calibrated for an optimal detection result. Those parameters determine the effectivity and efficiency of an algorithm and their impact is usually well known. There are however...
The recognition of face images is a complicated problem. Face images are often sufferedfrom variations in brightness, head rotation, facial emotions and so on. Besides, amazing abilities of human brain in face recognition in the presence of these variations, contribute to design face recognition systems based on procedure of human brain. Surveying the recognition and perceptual system of human, shows...
Modern robotic platforms, deployed for environmental monitoring and mapping, are able to rapidly accumulate large data sets. Whilst the data sets collected by these platforms are highly descriptive, they are often too large for human experts to analyse exhaustively. Although the large data sets could be analysed by humans in principle, the amount of labour and time required to process them is not...
The ability to automatically predict likelihood of reaction to specific events and situational awareness is important to many military and commercial applications. Gauging population sentiment for targeted response areas and having the ability to predict or control sentiment within these areas is invaluable. Review of reception towards deployed forces must be analyzed, especially in areas vital for...
This paper presents an audio monitoring system for detecting and identifying people engaged in a conversation. The proposed method is hands-free as it uses a microphone array to acquire the sound. A particularity of the approach is the use of a laser range finder based human tracker system. The human tracker monitors the locations of people then local steered response power is used to detect the people...
We present an approach, based on non-negative matrix factorization, for learning to recognize parallel combinations of initially unknown human motion primitives, associated with ambiguous sets of linguistic labels during training. In the training phase, the learner observes a human producing complex motions which are parallel combinations of initially unknown motion primitives. Each time the human...
In this paper, we propose a passive wire-type motion support system to guide a human hand through the use of servo brakes. This system is intrinsically safe because servo brakes cannot generate a driving force to control the system. On the other hand, this system may not generate sufficient force to guide the human hand along the desired path because of the use of servo brakes. To resolve this problem,...
According to the competency dictionary of Spencer, this research explores the component of senior researchers' competency in universities, and designs a scale of competency through the literature review, net information analysis, as well as the interviews of experts. To elaborate a model for senior researchers' competency, a total of 348 professors from 17 universities answered the questionnaire....
In this paper, we present a monocular, texture-based method for person detection and upper-body orientation classification. We build on a commonly used approach for person recognition that uses a Support Vector Machine (SVM) on Histograms of Oriented Gradients (HOG) [1] but replace the SVM by a decision tree with SVMs as binary decision makers. Thereby, in addition to the pure detection of persons,...
CAPTCHA (Completely Automated Public Turing Test to tell Computers and Human Apart) is widely used than before, which becomes the common part of current website login system. However, the CAPTCHA implementation is tricky and risky without deliberate design. In this paper, we give a study case of the vulnerabilities in current login website using text-based CAPTCHA. Our target is a website of mainstream...
This paper presents a Nonlinear AutoRegressive with eXogenous input (NARX)-based approach for human-emotion recognition from an input video. The dynamics of facial expressions are first captured by performing a temporal-spatial analysis by extracting local and spatial features using a pyramid of histograms of oriented gradients (PHOG) descriptor. Then the temporal phases of facial expressions are...
This paper reports experimental analysis of human characteristic in the lever operation by utilizing the stabilization task of cart-pendulum system. Previous studies have shown that there was a difference in the velocity distribution of the cart in the difference of the skill level. Then, cart-pendulum simulator is newly constructed and training that does the stabilization operation is done for five...
A benchmark evaluation dataset which reflects users' search behaviors in the real world is indispensable for evaluating the performance of information retrieval applications. A typical evaluation dataset consists of a document set, a topic set and relevance judgments. Manual preparation of an evaluation dataset needs much human cost, and human-made topics may not fully capture users' real search needs...
Enterprises and industrial companies strive to improve their functional performance by identification of core competencies in order to utilize human resources and optimise the knowledge integration processes of the company. In addition, maintenance operations are one of the most important sections in industrial companies which consist of key personnel and also explicit and implicit knowledge resources...
The cultural and creative industry has a positive role in a city's prosperity and development, it is also very important in a city's restructuring and upgrading of industrial structure, especially to Shanghai, the Chinese biggest international financial center, it is important for its comprehensive competitiveness. By studying the status of the development of Shanghai's creative industry and the human...
This work investigates a semantic-driven human detection algorithm, which employs global human template matching to inspire the local features based Adaboosting algorithm. We use distance transform to analyze distances between training samples and human contour template to obtain a classifier based on human outline features. At the training stage, the global outline feature will be coordinated into...
This paper proposes a classification system for human activity using a multi-sensor system with a built-in electrocardiograph and 3D accelerometers. The multi-sensor system unconstraintly measures biological information, and provides these data to personal computer by wireless communication. We classify human activity by the biological information. The sensor detects the electrocardiogram and triaxial...
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