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Smart TVs have been popularized in the last years, presenting continued innovation regarding different topics such as connectivity, platform support, and options for interaction. Examples of LG and Samsung present interaction options such as voice and gesture control, showing these emerging technologies that were previously tackled mainly on research investigations, as market alternative solutions...
This study proposes a method for analysis and calibration of the geo-coding error in mapping of the moving targets, 'movers', detected in the Wide Area Motion Imagery (WAMI). To estimate the accurate position of the movers, an iterative Ordinary Least Squares (OLS) optimisation of the camera model parameters is performed. The OLS is set to minimise the Euclidean distance between the locations of the...
Visual feedback is a very important component for re-learning motor tasks in post stroke recovery. In this paper, a virtual reality (VR) based system for stroke recovery for upper limbs is described, where the patient is immersed with the help of a Head Mounted Display (HMD). The HMD renders a 3D scene containing the avatar of the patient, from a virtual camera position placed on the head of the avatar...
Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. In this paper, we explore the potential of an augmented reality (AR) game implemented using free hand and body tracking to develop a uniform, cost-effective and objective methods for evaluation of upper extremity motor dysfunction in different patient groups. We conducted a study...
This work in progress report demonstrates a novel approach for behavioral augmentations in Virtual Reality (VR). Using a large scale tracking system, groups of five users explored a virtual museum. We investigated how augmenting social interactions impacts this experience, by designing behavioral transformations for behavioral phenomena in social interactions. Preliminary data indicate a reduction...
Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. Our aim is to explore the potential of augmented reality (AR) using free hand and body tracking to develop engaging games for a uniform, cost-effective and objective evaluation of upper extremity motor dysfunction in different patient groups. Based on the insights from a study...
This paper presents an algorithm implemented in real time in a laboratory robot, designed to trace and detect the color of an object in an indoor environment using the Kalman filter. The image capture is done by a kinect camera installed in the robot. The algorithm is programmed into a single board computer, BeagleBone Black that uses the ROS — OpenCV system in image processing.
In this paper, we present a tracking system to estimate the position of a surgical instrument used in minimally invasive spine surgeries for training. The purpose of our system is to get the information about movements and surgeons skills during the training. The system uses four infrared markers embedded on the surgical instrument of common used. At least two Wii Remote Control is needed for calculating...
The paper describes human-interactive robot that supports gait training base on autonomous evaluation and navigation of human body movements. Robotic intervention in gait training is a promising method for prospective rehabilitation. In literature, gait training platforms such as power assisting limbs and body supporting mobile platforms have been studied well. These types of platforms, however, mainly...
This paper makes the subjects' sight locked in a certain area using an eye tracker, getting Steady-state visual evoked potential (SSVEP) from flickering stimuli with a fixed frequency but at random positions, in order to observe the impact of stimulus at different positions and their distances on the electroencephalogram (EEG). The result suggests that if human have to select the positions of stimuli...
We can measure the eye movement activity using eye tracking technology. Eye tracking gives us information about where do we look? What is ignored and how the pupil reacts to different stimuli. The eye tracking concept is basic but its process and interpretation can be very diverse and complex. ET measures the gaze points generated by our eye relative to the head. Eye trackers are availbble in either...
This study evaluates the usage of tactile feedback to aid cooperative object manipulation using the SkeweR technique. This technique is based on the use of crushing points, where the users grab the object for the first time, to simultaneously move/rotate an object. Once the user keeps his hand positioned on the crushing point, during the object manipulation, the interaction becomes more natural, in...
Multiple-choice (MC) question is an important form of test to assess the students' academic achievement, especially in the e-learning applications. However, the classical evaluation metrics on MC questions (such as the correctness ratio) only consider the correctness of the final selection but ignore the solving progress of the testee. In the existing literature, the eye-tracking based visual attention...
Visual tracking has a number of applications on robotic minimally invasive surgery (RMIS). In this paper, we propose a visual tracking method for two-dimensional tool detection using convolutional neural network (CNN) with line segment detector (LSD) and tracking using spatio-temporal context (STC) learning. We train a CNN with the datasets labeled by LSD to detect the tool's tip on the basis of the...
Currently used motion estimation is usually based on a computation of optical flow from individual images or short sequences. As these methods do not require an extraction of the visual description in points of interest, correspondence can be deduced only by the position of such points. In this paper, we propose an alternative motion estimation method solely using a binary visual descriptor. By tuning...
Gaze analysis in dynamic environments has remained an unresolved problem due to the complexities that pertain to the detection and tracking of objects in the visual environment. This study provides a solution to the problem for face-to-face communication, in which the visual objects in the environment are faces. The application that has been developed for this purpose is able to detect and track faces...
In recent years, Japanese tea ceremony has become increasingly popular outside of Japan. In Japan, there are many tea ceremony facilities (called chashitsu). However, there is not enough number of both chashitsu, and tea masters outside of Japan. In this paper, we propose virtual chashitsu that allows remotely located tea masters and students to practice Otemae (tea-serving manners) by using a common...
Unsupervised segmentation of action segments in egocentric videos is a desirable feature in tasks such as activity recognition and content-based video retrieval. Reducing the search space into a finite set of action segments facilitates a faster and less noisy matching. However, there exist a substantial gap in machine's understanding of natural temporal cuts during a continuous human activity. This...
Fast abnormal event detection algorithm has high application value. But it is difficult to select appropriate feature representation to realize fast abnormal event detection. In view of HVS's dual pulse propagation theory and computational complexity, LBP and OF are used as temporal and spatial feature representation of video in this paper. Since human understanding involves the abstraction of the...
Object detection in videos has drawn increasing attention recently with the introduction of the large-scale ImageNet VID dataset. Different from object detection in static images, temporal information in videos is vital for object detection. To fully utilize temporal information, state-of-the-art methods [15, 14] are based on spatiotemporal tubelets, which are essentially sequences of associated bounding...
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