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We collect environmental information through our sensory organs, perceive them suitably to execute the task in hand. Examples of such tasks are abundant, like driving, operating machines, playing games, hunting, or mushroom picking on mountains. While executing such tasks, there is a marked difference in efficiency and accuracy between an expert and a novice. An expert is attentive to only what is...
Decoding of various motor intentions for generating command is one of the important factors in brain-based wheelchair system. The goal of this study focuses on classifying four types of trunk-related motor execution and imagery intentions. By brain components which are related to the trunk-related movements (waist, shoulder, and trunk) are generated in the very small and very close brain areas; therefore,...
Emergency command and control centers (CC) are integrated facilities to assist and handle crisis situations. In these CCs, operators suffer both with information shortage and overload. This paper focuses on the information overload problem. Operators often do not have adequate access to information that may be relevant in the decision-making process. In many CC centers, information is stored without...
When two partners perform a joint physical task, each of them experiences a force that sums together a component generated by the partner and another generated from the environment. To investigate whether subjects are able to distinguish these two components, we created a force perception task in which two partners indicate the direction of an external force applied to a rigid bar that they grasp...
In the development of advanced driver-assist systems (ADAS) for lane-keeping, one important design objective is to appropriately share the steering control with the driver. Hence, the steering behavior of the driver must be well known beforehand. This paper adopts the well-known two-point visual driver model to characterize the steering behavior of the driver, and conducts a series of field tests...
With commercial prosthetic hands, executing some everyday movements, for example, concurrent grasp and bending of the wrist to pick up an object from a high shelf, is very challenging. We hypothesised that after the loss of the hand, the flexibility of the nervous system enables prosthesis users to bypass the innate biomechanical constraints on upper-limb muscles and joints. We show that users are...
Haptic guidance has previously been employed to improve human performance in control tasks. This paper presents an experiment to evaluate whether haptic feedback can be used to help humans learn a compensatory tracking task. In the experiment, participants were divided into two groups: the haptic group and the no-aid group. The haptic group performed a first training phase with haptic feedback and...
In the scope of the article, there is the presentation of the cyber-higher educational environment feasible by the technical innovations appearing rapidly and the investigation of the methods which can be applied successfully in the educational scene of the future. My goal was to create an educational scene suiting to the digital life of the CE generation students-called Z generation and alpha generation...
Effect of adaptive threshold on shot boundary detection performance is analyzed in this paper, where the threshold is used to determine whether a target frame is a shot boundary or not in a broadcasting video content. Adaptive threshold is calculated using input threshold and visual similarities of adjacent frames of a target frame. The experimental results show that application of adaptive threshold...
Lakoff and Johnson' s theory of conceptual metaphor predicts that the notion of verticality is often used as a basis for understanding concepts: so, for example, physically higher locations are associated with morally good, and lower locations are associated with immorality. As the moral dimension plays a crucial role when we judge other people, one would expect that verticality metaphor is also connected...
This paper presents superpixel-based background removal methods to increase accuracy of global salience person re-identication method. The current algorithm has two problems which limit its accuracy including (1) wrong matching when images of different people have the same background and/or (2) salience on the background of different images of different people is similar. Theoretical maximum accuracy...
In the early years of college, students have the need to learn how to program in any programming language. It is important to see the differences between programming languages and their rules. We are proposing an interactive and self-study system for students to acquire the knowledge they need, from data structures to algorithms using multiple programming languages. The system gives the students some...
Mobile devices have been playing an important role in our daily lives. Therefore, to extend the standby time of mobile devices has become a focal topic to both industry and academia. Based on the brightness, contrast and motion analysis, this paper proposes a new backlight dimming and pixel compensation method for display power saving when playing video. First, we calculate the brightness and contrast...
Domestic sound recognition is an important ability for our daily lives. Although we can recognize sounds as they arrive, conventional automatic sound/speech recognition systems cannot behave in a similar manner. This paper proposes a domestic sound recognition method that can incrementally take sound streams into consideration during the progress of time. This is useful for advancing human-machine...
This paper presents an image retrieval method for insect identification based on saliency map and distance metric learning. First, the proposed method extracts regions of insects from target images by using saliency map and calculates visual features from the extracted insect regions. Next, in order to realize accurate retrieval of insects based on the calculated features, distance metric learning...
Image retargeting methods change the size of images to an arbitrary resolution while protecting visually important regions from distortion. Since retargeting methods deform contents of an image based on these importance, importance calculation methods suitable for image retargeting is needed. In this paper, we propose a framework to improve an importance map by using depth and segmentation information...
This paper presents a retrieval method of similar inspection records in road structures based on metric learning using experienced inspectors' evaluation. Inspection records of road structures include images and text-based information such as category of distress, damaged parts and degree of damage. The proposed method calculates distances from query inspection records, and rank lists of retrieval...
In this paper, we propose a tourism category classification method based on estimation of reliable decision. The proposed method performs tourism category classification using location, visual, and textual tag features obtained from tourism images in image sharing services. As the biggest contribution of this paper, the proposed method performs successful classification based on two classification...
We present a long-term intrinsically motivated structure learning method for modeling transition dynamics during controlled interactions between a robot and semipermanent structures in the world. These structures serve as the basis for a number of possible future tasks defined as Markov Decision Processes (MDPs). We apply a structure learning technique to a multimodal affordance representation that...
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