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Ensemble feature selection is known for its robustness and generalization of highly accurate predictive models. In this paper, we use different filter-based feature selection methods in an ensemble manner to improve face recognition. The goal is to distinguish human faces from avatar faces. Our approach was able to achieve very high accuracy, 99%, using less than 1% of the pixels in each image. This...
Probabilistic latent semantic analysis (PLSA) has been widely used in the machine learning community. However, the original PLSAs are not capable of modeling real-valued observations and usually have severe problems with over fitting. To address both issues, we propose a novel, regularized Gaussian PLSA (RG-PLSA) model that combines Gaussian PLSAs and hierarchical Gaussian mixture models (HGMM). We...
In this paper, the temporal characteristic of spectral subbands of sleep EEG associated with different sleep stages is examined using a simple computational analysis technique based on the local minima and maxima. The average range of local min-max Rλ defined as the average differences between amplitudes of consecutive local minima and maxima is used as a temporal characteristic measure. From the...
This paper proposes an investigation on classification of the positive and negative emotions via the use of electroencephalogram (EEG). EEG bandpowers are extracted as the feature of interest. Two simple decision rules to classify positive and negative emotions are proposed, i.e. 1) using both the left and right frontal information and 2) using only one side of the left or right frontal information...
This paper firstly provides a general introduction in the most important aspects and ideas of Visual Analytics. This multidisciplinary field focuses on the analytical reasoning of typically large and complex (often heterogeneous) data sets and combines techniques from interactive visualizations with computational analysis methods. Hereby, intuitive and efficient user interactions are a fundamental...
Large IT service providers comprise hundreds or even thousands of system administrators to handle customers' IT infrastructure. As part of the Information Systems that support the decision making of this environment, Incident Management Systems are used and usually provide human resource assignment functionalities. However, the assignment poses several challenges, such as establishing priorities to...
Whenever a research scholar starts working on some innovative ideas he/she searches for the domain specific technical research articles published as research papers in most of the international journals, conferences or workshops. The problems associated with these papers are similarity in contents and repeated relevant information. Reading these all relatedpapers completely one by one to get the latest...
Resources allocation and scheduling has been recognised as an important topic for business process execution. However, despite the proven benefits of using Cloud to run business process, users lack guidance for choosing between multiple offering while taking into account several objectives which are often conflicting. Moreover, when running business processes it is difficult to automate all tasks...
The passive dynamic control (“PDC”) is a mechanical system control method based on an inherently safe design. It positively uses a passive element (braking effort) whose characteristics are variable. In this paper, the PDC is applied to a rotary pneumatic actuator. First, the rotary pneumatic actuator equipped with an electromagnetic brake and a sensor for applying the PDC is proposed, and its control...
When human exercises multi-degrees of freedom (DOF) motion, they just pay attention to only part of the body motion and can control the whole body motion. By consciously adjusting low-DOF movements, it is possible to induce multi-DOF motion, which is referred as a “knack” in the sport. Acquiring knacks can drastically improve multi-DOF motor skills by low-DOF information presentation, and it is also...
The multi-fingered robot hand has much attention in various fields. Many robot hands have been proposed so far. However, the robot hand cannot execute any tasks autonomously because the robot hand does not have enough motion and sensing ability to task complexities. Therefore, we have developed a robot hand teleoperation system with the motion capture data glove CyberGlove. Here, each joint of the...
This paper reports construction of a new device to capture 3D point cloud on human body. The device consists of a horizontal LIDAR, a vertical LIDAR and pan rotational mechanism. The device contain three main features. 1) The device can capture point cloud in large area using combination of the vertical LIDAR and the rotational mechanism. 2) The device can measure dense point cloud using mirror reflection...
We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a ‘theoretical platform’ to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called...
A system for humanoid robot arm movement concerns about generating a human-like point-to-point (p2p) trajectory. For more than a decade, numerous systems have been devised and many of them were based on complex dynamical systems. In this paper, we introduce a simpler system, integrating support vector machine (SVM) learning model, which can achieve same p2p objective. In our experiment, we compare...
A wearable elbow joint with three passive joints is proposed in this paper. The joint has an advantage of easy attachment to a human arm, without thorough adjustment when attached. This paper describes kinematics, statics and a prototype of the proposed joint, and then reports results of preliminary evaluation.
Aim to improve upper limb rehabilitation effect, we design and develop an Image-projective Desktop Arm Trainer (IDAT). Compared with conventional therapy, IDAT provides a more effective and interesting training method. IDAT's goal is to maintain and improve patients' upper limb function by training their eye-hand coordination. We select step-on interface (SOI) as the input system which makes trainees...
Human Behavior Understanding (HBU) is a major challenge facing intelligent agents. Most approaches to solve this problem assume a recognition/detection context in which the agent/robot tries to match the perceived behavior to one or more predefined motion patterns (e.g. walking, running etc). A more challenging problem is discovering these motion patterns without apriori assumption about the motions...
Robots need to be dependable to work closely with humans. Further they must be accountable for the system design and development process. This makes some of the safety related standards such as IEC61508 adopt module based architecture and model driven engineering process. On the other hand, module-based architectures using middlewares are popular in the integration phase, when developing robot systems...
Understanding various factors affecting human operator's performance is one key to effectively controlling a multi-robot service queue. In this paper we study the optimal incentive design and task allocation scheme in the presence of strategic human operators with unknown capability information. We build a mechanism design framework to model and analyze the problem. We show that a simple and easy-to-implement...
In a teaching lab focused on embedded control, students create and interact with virtual environments using a haptic interface. Coupling physical (in particular physiological) environments to virtual environments gives rise to many interesting phenomena, one of which is the appearance of dissipativity in the coupled dynamics, the source of which is difficult to identify. Simple harmonic oscillators...
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