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Face recognition is a very challenging problem in computer vision. In this paper, Speeded up Robust Features (SURF), a scale and rotation invariant interesting point descriptor, is further explored for face recognition. Specially, a novel technique, Cell Similarity is proposed to make improvement based on SURF in face recognition. In the meantime, different cell division strategies are proposed and...
This paper presents high voltage generator for stun gun applications. The proposed high voltage generator consists of coupled-inductor boost and flyback converters, which adopts active clamp circuit to recover energy trapped in leakage inductances of coupled inductor and transformer in two converters simultaneously. With this approach, coupled-inductor boost converter can boost voltage of battery...
Gait has received much interest from the biometric society in the vision field due to its utility in walker identification. In this paper, we present a regularized eigenspace-based gait recognition system for human identification. First, motion contour image (MCI) is extracted from walking sequences. In training phase, eigenfeature regularization and extraction (ERE) is applied to the gallery motion...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
This paper proposes an approach to construct a system which allows humanoid robots to recognize human behaviors and predict his or her future behaviors. The system consists of two modules : “motion symbol tree” and “motion symbol graph”, Human demonstrator motion patterns are stored as motion symbols, which abstract the motion data by using Hidden Markov Models. The stored motion patterns are organized...
A set of thorough pay system is the key to business in order to effectively attract, retain and motivate staff and to make staff continue to dedicate to the enterprises. In China, for some enterprises, especially the private enterprises, the pay structure design is considerable arbitrariness and brought many of problems. The paper analyses the current situation, problems and causes of the problems...
A social intelligent robot should be capable of observing and understanding the changes in the environment so as to behave in a proper manner. It also needs to take into account user preferences, user disability level, and user profile. This paper presents a research work based on socially assistive robotics (SAR) technology that aims at providing affordable personalized physical and cognitive assistance,...
Currently security has become one of the most widely researched areas and a lot of newer inventions are being added to it. This paper stresses on the use of ear biometrics for the same purpose based on the fact that ear is the least affected body part in terms of physical changes taking place in the body due to environment and natural growth. The concept of skin reflectance is made to work within...
This paper aims to describe the perception of tutors and university teachers about quality assurance in a distance undergraduate management course in Minas Gerais Brazil. The results provided a useful amount of information to improve the quality of the course and even the platform used.
Public facilities is the most closely associated node in the urban landscape and human activities in space, citizens living in the high-quality standard of living has pay much attention on its design. In various international design competition, the fresh air of creative design of public facilities from the campus inject much vim into this area. How to make Students' design of public facilities quickly...
In order to realize accurate and fast tracking moving human, a moving human tracking algorithm based on partial Hausdorff distance is presented. This algorithm adopts Gaussian mixture distribution to model background of each pixel and background subtraction to detect moving regions. Shadow elimination and aftertreatment of moving regions provide moving human regions. Kalman filter is used to predict...
The present paper reports a study on identifying pattern of changes in self-esteem and personality traits among UKM-UDE double degree students who study in both UKM in Malaysia and University of Duisburg-Essen (UDE) in Germany. A longitudinal design of data collection was employed. Students responded to the Rosenberg Self-esteem and Big Five personality inventory (BFI) at three different times throughout...
This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL...
Emotions recognition is a young field, where a growing maturity implies new needs in terms of modelling and integration in the existing models. Based on our previous work (EMASPEL) and expressive gesture analysis; this paper deals with the problem of Emotion Recognition System (ERS); using a camera and no other special tools, we suggest an architecture for an embedded ERS with learner motion analyses...
Automatic human action recognition has been a challenging issue in the field of machine vision. Some high-level features such as SIFT, although with promising performance for action recognition, are computationally complex to some extent. To deal with this problem, we construct the features based on the Distance Transform of body contours, which is relatively simple and computationally efficient,...
How to recognize human action from videos captured by modern cameras efficiently and effectively is a challenge in real applications. Traditional methods which need professional analysts are facing a bottleneck because of their shortcomings. To cope with the disadvantage, methods based on computer vision techniques, without or with only a few human interventions, have been proposed to analyse human...
Humans employ context-specific internal models for their bodies and the world around them. They learn them through embodiment in the environment, by gathering data in a task-specific way. Similarly, robots operating under humanlike task constraints must have the ability to accommodate situations unknown to their designers. We demonstrate a method for the Anatomically Correct Testbed (ACT) robotic...
This study highlighted the use of Cluster analysis approach to classify the participants' Learning Style (LS) based on the EEG brain asymmetry (BA) dataset. BA is importance to indicate brain activity in both right hemisphere (RH) and left hemisphere (LH). The RH and LH dominant states are closely related to human learning traits such as Attention, Perception and Emotions. In this research, we determine...
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