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The studies on mirror neurons observed in monkeys indicate that recognition of other's actions activates neural circuits that are also responsible for generating the very same actions in the animal. The mirror neuron hypothesis argues that such an overlap between action generation and recognition can provide a shared worldview among individuals and be a key pillar for communication. Inspired by these...
Action classification is an important component of human-computer interaction. Trajectory classification is an effective way of performing action recognition with significant success reported in the literature. We compare two different representation schemes, raw multivariate time-series data and the covariance descriptors of the trajectories, and apply sparse representation techniques for classifying...
This paper describes a set of experiments in which an upper-torso humanoid robot learned to slide a card through a card reader. The small size and the flexibility of the card presented a number of manipulation challenges for the robot. First, because most of the card is occluded by the card reader and the robot's hand during the sliding process, visual feedback is useless for this task. Second, because...
In this study, we propose a control method for movement assistive robots using measured signals from human users. Some of the wearable assistive robots have mechanisms that can be adjusted to human kinematics (e.g., adjustable link length). However, since the human body has a complicated joint structure, it is generally difficult to design an assistive robot which mechanically well fits human users...
The objective of this paper is to present a strategy to safely move a robot in an unknown and complex environment where people are moving and interacting. The robot, by using only its sensor data, must navigate respecting humans' comfort. To obtain good results in such a dynamic environment, a prediction on humans' movement is also crucial. To solve all the aforementioned problems we introduce a suitable...
Automatic detection of human cell is one of the most common investigation methods that may be used as part of a computer aided medical decision making system. In this paper we present an efficient algorithm, based on the cluster analysis and the vector quantization techniques for human cell image detection. First, we perform the edge detection methods to specify the desired region of any object in...
Radar micro-Doppler signatures (MDS), which show how different parts of the target move, can be utilized for security and safety applications like detection and assessment of human activity at airports, nuclear power plants etc. We have evaluated a MDS classification method on measured data at 77 GHz. The important part of the method is the feature extraction, which is based on selecting the strongest...
Cloud computing is an emerging computing paradigm which allows sharing of massive, heterogeneous, elastic resources among users. Despite of all the hype surrounding the cloud, users are still reluctant to adopt cloud computing because public cloud services process users' data on machines that users do not own hence there is a fear of leakage of users' commercially sensitive data. Due to these reasons,...
This paper takes consideration of (voices of) the characteristics of voice processing by the human auditory system, adopts triangle filter to do signal preprocessing, and uses logarithm operations of all filter output for extracting Mel frequency cepstrum Coefficient (MFCC). By Matlab simulation of MFCC vectors of typical signal of male and female, an analyses is given of the probability to be applied...
The accuracy of engine noise diagnosis depends greatly on SNR (Signal-to-Noise Ratio) of fault-featured engine sounds. By simulating the way that human technicians use to distinguish abnormal engine sound from observed engine acoustics, a humanoid ANC (Adaptive Noise Cancellation) system is proposed. With a RBFNN (RBF Neural Network) based measurement that is defined to evaluate the closeness between...
This paper presents an adaptive controller for the bilateral teleoperation of a system composed by a single local manipulator and multiple cooperative remote manipulators handling a common object. First, the nonlinear operational space dynamical behavior of the complete teleoperation system is derived. Then, under the assumptions that the remote manipulators are rigidly grasping a non-deformable object...
Contemporary web browsers do not provide customized recommendations for the users; rather than some suggestions based on cookies or browsing history after content filtering. Usually, most of the users provide some key words to search the contents inside their preferred websites and based on these key words web servers provide the contents. So, it would be an interesting and important idea to provide...
This paper is an attempt to explore a human element not easily solved in the image processing communities. The problem statement is vague but important to address. What is a good image? More specifically, if a low contrast image is presented, at what level of enhancement is good enough for a human observer? This of course depends on diverse elements, e.g., personal preference, emotional state, physical...
In this paper, we propose a novel architecture for implementing the Goertzel algorithm for exon prediction. Compared to previous designs, this one does not require multiple retransmissions which increase the number of clock cycles required to complete an operation. The proposed design is able to produce a new output on every clock cycle, which improves the throughput by roughly thirty times. The system...
In this paper, based on the automatic extraction of the three-dimensional human skeleton, the kinematics for joint points of 3D human skeleton is introduced. The adjacent joint points show all kinds of motions by the change of position. The conformal geometric algebra method is used to describe 3D human model to realize the direct calculation using geometric language. The human skeleton gesture is...
A new technique for action clustering-based human action representation on the basis of optical flow analysis and random sample consensus (RANSAC) method is proposed in this paper. The apparent motion of the human subject with respect to the background is detected using optical flow analysis, while the RANSAC algorithm is used to filter out unwanted interested points. From the remaining key interest...
Nowadays, even though countries take measures to control the population, it is reported that the total number of global population has reached 7billion. In 21st century, the human society is still faced with the problems about the unprecedented consumption of material wealth and the unprecedented increase in population [1]. So the researchers should study the dynamic changes of resources and population...
Dental image processing is most immerging field for human identification. Dental features remain more or less invariant over time compared to other identification clues like fingerprint, iris, etc. which are not available in some case of major accidents. The purpose of dental image processing is to match the post-mortem (PM) radiograph with the ante mortem (AM) radiograph based on some characteristic...
The most eye catching regions within an image or video can be captured by exploiting characteristics within the human visual system. In this paper we propose a novel method for modeling the visual saliency information in a video sequence. The proposed method incorporates wavelet decomposition and the modeling of the human visual system to capture spatiotemporal saliency information. A unique approach...
In this paper, we present an unsupervised learning method, based on the finite Dirichlet mixture model and the bag-of-visual words representation, for categorizing human action videos. The proposed Bayesian model is learned through a principled variational framework. A variational form of the Deviance Information Criterion (DIC) is incorporated within the proposed statistical framework for evaluating...
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