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Both consumer market and manufacturing industry makes heavy use of 1D (linear) barcodes. From helping the visually impaired to identifying the products to industrial automated industry management, barcodes are the prevalent source of item tracing technology. Because of this ubiquitous use, in recent years, many algorithms have been proposed targeting barcode decoding from high-accessibility devices...
Localization of audio sources is an important research problem, e.g., to facilitate noise reduction. In the recent years, the problem has been tackled using distributed microphone arrays (DMA). A common approach is to apply direction-of-arrival (DOA) estimation on each array (denoted as nodes), and then map the DOA estimates to a location. In practice, however, the individual nodes contain few microphones,...
The sensors that acquire 3D data play an important role in many applications. In addition, they have been used in the robotic field for several purposes, for instance, enhancing the navigation of mobile robots, object detection, scene reconstruction, 3D inspection of parts and others. Moreover, a significant amount of devices with distinct cost, accuracy and features have been released in the recent...
This paper presents an image-based indoor localization system for tracking older individuals' movement at home. In this system, images are acquired at a low frame rate by a miniature camera worn conveniently at the chest position. The correspondence between adjacent frames is first established by matching the SIFT (scale-invariant feature transform) based key points in a pair of images. The location...
Brain Computer Interfaces enable people with disability to access computer technology, when traditional modes are beyond their ability. This novel technology, uses brain waves to initiate the software, enabling people with acquired brain injury (ABI) to access applications for eHealth and eInclusion. This paper reports on the outcome of research with target end users and a control population to develop...
Buildings require regular maintenance, and augmented reality (AR) could advantageously be used to facilitate the process. However, such AR systems would require accurate tracking to meet the needs of engineers, and work accurately in entire buildings. Popular tracking systems based on visual features cannot easily be applied in such situations, because of the limited number of visual features indoor,...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system without explicitly identifying intrinsic or extrinsic camera parameters. Our method employs a tracked checkerboard to establish a number of correspondences between positions in color and depth camera space and in world space. These correspondences are used to construct...
We aim to develop a brain-machine interface (BMI) system that estimates user's gaze or attention on an object to pick it up in the real world. In Experiment 1 and 2 we measured steady-state visual evoked potential (SSVEP) using luminance and/or contrast modulated flickers of photographic scenes presented on a head-mounted display (HMD). We applied multiclass SVM to estimate gaze locations for every...
Aim to let the intelligent robot could quick, accurately identify and locate tennis, a new method of tennis recognition is proposed in this paper based on color and shape. First, more independent goals image are removed through color filter method and image filter method with taking advantage of Matlab processing functions. Secondly, corner pixels were extracted to complete stereovision matching in...
We explore the use of gesture recognition on a wrist-worn smartwatch as an enabler of an automated eating activity (and diet monitoring) system. We show, using small-scale user studies, how it is possible to use the accelerometer and gyroscope data from a smartwatch to accurately separate eating episodes from similar non-eating activities, and to additionally identify the mode of eating (i.e., using...
In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example,...
The usage of sensory information for automation systems like autonomous robots is rising. For these applications the accuracy of the sensory data is of high importance. This is also valid for the task of transport by throwing where a thrown object has to be caught based on trajectory predicting using input data of a stereo camera system. Here the positioning accuracy of such a system is examined under...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system. Our application domain is 3D telepresence where users in front of a three-dimensional display need to be captured from all directions. The captured data is used to virtually reconstruct the group of people at a remote location. One key requirement of such applications...
In this research, we investigated and discussed several camera setup methods from different perspectives in order to exhibit advantages and shortcomings, as well as to reveal potentials of other camera setups in terms of image acquisition for action recognition system. Stability and accuracy of tracked skeletons of 10 actions from different views of camera settings are investigated. Experimental results...
Recycling of printed circuit boards (PCBs) is still subject to current research. For identifying valuable materials in electronical components on the PCBs the height profile of PCBs is a important feature. Laser triangulation with a perpendicular laser is a classical approach to generate height profiles. However, in such a setup it is not possible to acquire different modalities such as panorama images...
With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect,...
Iris Tracking is the process of determining the point of gaze or the motion of an eye. In today's era, the combination of Iris Tracking and gaze estimation shows a person's interest. In this paper, we have focused on a single-camera-based gaze estimation algorithm. The paper also describes the implementation of both iris and movement of cursor according to iris position which can be used and detected...
recent studies have shown a huge and steady increase in elderly population, which eventually becomes a predominant aspect of our society. As such, effective solutions that is not costly for this aspect is needed. Recently, a lot of work has been conducted on Ambient Assisted Living (AAL) which focuses on elderly peoples need. Ambient Intelligence technologies are widely researched on and developed,...
Eye gaze movements are considered as a salient modality for human computer interaction applications. Recently, cross-ratio (CR) based eye tracking methods have attracted increasing interest because they provide remote gaze estimation using a single uncalibrated camera. However, due to the simplification assumptions in CR-based methods, their performance is lower than the model-based approaches [8]...
The rapid improvement in smartphone technology has produced many medical applications [1]. Cellular phones now offer several advantages over desktop or laptop computers in tele-monitoring applications like individual's fitness, instant diagnosing and systems for monitoring an individual's medical conditions. Heart rate is one of the most important vital signs of human body. Although cellular phones...
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