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Electrocardiogram (ECG) as a biological information, it has some special feature. Different people will have different ECG information, even one person has different ECG when he is under different body state. In this paper we use the Electrocardiogram (ECG) to identify disease or to detect different person. Firstly, we collect the ECG information form different body state of the different people....
The method using hierarchical clustering classify blouses and human somatatype into different categories. And then using BP algorithm of ANN to simulate the pattern master's experience and technique is proposed and used in the flat pattern design of blouses. This method realizes intelligence formation of size for blouse based on effective anthropometric measurements. The Experimental results show...
Understanding human mental models is important for designers to build their interactive systems or training programs. Human mental models can be realized and quantified through the card sorting technique and the employment of similarity coefficients. However, an apparent lack of justification for the choice of employed similarity coefficients in previous studies shows the necessity of research on...
In this paper, we propose a novel human detection approach combining wavelet-based center symmetric LBP (WCS-LBP) with a cascade of random forests. To detect human regions, we first extract three types of WCS-LBP features from a scanning window of wavelet transformed sub-images to reduce the feature dimension. Then, the extracted WCS-LBP descriptors are applied to a cascade of random forests, which...
Recognizing human interactions is a challenging task due to partially occluded body parts and motion ambiguities in interactions. We observe that the interdependencies existing at both action level and body part level greatly help disambiguate similar individual movements and facilitate human interaction recognition. In this paper, we propose a novel hierarchical model to capture such interdependencies...
In this research, we propose a method of improving on the accuracy of detecting nasal cavity location in far infrared images for non-contact measurement of human breathing. We found that although our previous method for far infrared imaging can detect regions that include nasal cavities well, several false alarms occur. In order to reduce false alarms, we propose to apply false alarm classification...
The paper describes a new method of detecting human figures in the video scene in real time. This problem can be found, for example, in the protection of buildings where unauthorized persons have access, surveillance of persons in common areas such as shopping centers, airport lounges, etc. For the detection of the contour of a human figure the HOG algorithm is often used which detects the human figure...
Webble Technology is the most recent form of Intelligent Pad. Webbles are objects in a browser window that allow for direct manipulation by drag and drop. One may pick up any Webble and move it over any other one for operational combination. The new Webble is plugged into the previous one and data between them flow through predefined slots. Human users may reconfigure the slot connections of Webbles...
It is essential for robots to be highly usable to achieve increased acceptance among target population. In this paper, we put forward a metric that measures easiness of acceptance using the length of time to initiate interaction, total interaction time, time needed to identify perception-reaction phenomenon, its occurrence, number of violations and affective interaction factor. This measure would...
In this paper, we present Roman Tutor, an intelligent tutoring simulator to train astronauts on manipulating the SSRMS, an articulated robot arm deployed on the International Space Station. Roman Tutor incorporates a model of the system operations curriculum, a kinematic simulation of the robotics equipment and the ISS, a high performance path planner and an automatic task demonstration generator...
A new no-reference image quality metric is proposed to estimate the quality of watermarked images automatically based on fuzzy neural network. The aim is to use fuzzy neural network to learn the highly nonlinear relationship between the fuzzy similarity measures and the subjective quality rating, known as the mean opinion score (MOS) obtained from human viewers. In fact, our metric consists of four...
Human pose estimation is a classic problem in computer vision. Statistical models based on part-based modelling and the pictorial structure framework have been widely used recently for articulated human pose estimation. However, the performance of these models has been limited due to the presence of self-occlusion. This paper presents a learning-based framework to automatically detect and recover...
Pedestrian detection is of much importance for its practical applications. This paper develops a novel pedestrian detection system which consists of three stages: motion region detection based on background modeling, feature extraction in the guidance of prior information, and map-based classification applying support vector machine (SVM) and Adaboost. First of all, an adaptive Gaussian Mixture Model...
In this paper, we apply Web images to the problem of automatically extracting video shots corresponding to specific actions from Web videos. Our framework modifies the unsupervised method on automatic collecting of Web video shots corresponding to the given actions which we proposed last year [9]. For each action, following that work, we first exploit tag relevance to gather 200 most relevant videos...
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we present a solution that is based on our earlier approach for object tracking using particle filters and component-based descriptors. We extend the approach to deal with changing backgrounds by using a quick training phase...
To detect human sex from complex background, illumination variations and objects by machine is very difficult but important for adaptive information service. In this research, we present a preliminary design and experimental results of gender recognition from walking movements that utilizes gait energy image(GEI) with denoised energy image(DEI) pre-processing as support vector machine(SVM) classifier...
High performance work system refers to a set of coherent human resource management practices that companies can implement with their workforce to expect better performance. This study complements the relevant literature by examining the relationship of high performance work system with another work result: individual's creativity performance. Surveying data from new product development team in Taiwanese...
Most early work on high-performance work systems (HPWS) examines only the direct relationship between a set of management practices and performance outcomes and seldom investigates the black box between them. On top of the previous individual approach, our study would take a group level approach and investigate how the HPWS may change the performance, especially the innovation performance, through...
The objective of this research is to explore the relationship between training transfer determinants and small businesswomen's goal setting. The instrument for this research is adapted and modified from the Training Transfer Model and Model for Excellence (American Society of Training and Development Competency Research). Training transfer determinants: training design (training content, training...
The paper presents a new online incremental zero-shot learning method for applications in robotics and mobile communications where attribute labeling is obtained via online interaction with users, and where the potential for inconsistency exists. Unique to most previous offline batch learning methods, the proposed method is based on the indirect-attribute-prediction (IAP) model instead of the direct-attribute-prediction...
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