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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
This work proposes an approach for performing Human-Robot Cooperation (HRC) tasks by integrating a Brain Computer Interface (BCI) with a robotic manipulator. In detail, the user can select one among six different objects via BCI, which analyzes the P300 signals generated by the brain when the images of the selectable objects appear on the screen. Then, the selected object is recognized by a Support...
Provides an abstract for each of the keynote presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
We propose a bio-information inference platform, which can be used for inferring important bio-information based on the machine learning using biomedical signals collected from underwear-type wearable devices. This platform has been consisted of an underwear-type wearable device, a smartphone, a server, and a doctor terminal. Using this platform, we can collect biomedical signals during 24 hours securely...
Improper sitting posture can lead to a number of serious health disorders connected to the musculoskeletal system. Especially nowadays sitting periods at work or at home are increasing, and therefore consistent stance monitoring can help users improve their sitting habits and avoid related complications. In this work, we present SPoMo a real-time, practical, wearable system that automatically tracks...
The supervision of rehabilitation exercises is crucial for a successful therapy. Due to a lack of therapists, technical assistance systems have recently come into focus to assist patients during their exercises. Latest research proved that characteristic motion errors can be detected by using the Kinect skeleton joints in connection with Incremental Dynamic Time Warping (IDTW) and machine learning...
An unobtrusive method to realize human fall detection by using bluetooth beacons, a smartphone and a low cost mobile robot is presented. The method is composed by five steps. The first consists in extracting features from the smartphone acceleration data, which are then analysed online by the fall detection algorithm. Once the fall event is detected, then the location is determined by using the bluetooth...
We consider an inter-layer FEC technique combined with hierarchical 16QAM schemes for stereoscopic video transmission over AWGN relay channels. The proposed system with the suitable hierarchical value (α) can gain about 2.26–6.18 dB in the average PSNR performance, compared with the system using conventional FEC and hierarchical 16QAM schemes.
In this paper we present a scalable multi-view video streaming system with client-side view interpolation. Most parts of the system have been shown to be able to perform in real-time, but never as a complete system. Even though our algorithms are not yet highly optimized, we show that running a complete multi-view streaming system video on consumer hardware is possible today. Since multi-view coding...
Recently, interest in contents utilizing 360 and Virtual Reality images is increasing. These images are generally transformed into Equirectangular projection and transmitted in a 2:1 ratio rectangular shape. However, this method causes distortion of the upper and lower parts of the 360 images which is widely spread. Furthermore, since the spread 360 images requires higher data rate, it is difficult...
Adapting quality based on the underlying network conditions is one of the most important components of video streaming applications. Today HTTP adaptive video streaming systems are used prevalently around the world and this tendency led MPEG group to standardize DASH. Scalable video coding can be used as an alternative codec in DASH applications. In this case quality adaptation can be done by adding...
In conventional visual odometry (VO) systems, perspective-n-point (PnP) method and random sample consensus (RANSAC) algorithm are generally used to estimate camera poses. However, heavy computational burden is incurred, and the pose estimations are not reliable as well. Therefore, in this paper, an improved VO system is proposed, where an off-line camera calibration method is used to obtain lesser...
Future Video Coding (FVC) is a new international video compression standard offering much better compression efficiency than previous video compression standards at the expense of much higher computational complexity. In this paper, an FPGA implementation of FVC 2D transform is proposed. The proposed FVC 2D transform hardware can perform 2D DCT-II, DCT-V, DCT-VIII, DST-I, DST-VII operations for 4×4...
Fractional interpolation is one of the most computationally intensive parts of High Efficiency Video Coding (HEVC). Therefore, in this paper, two pixel correlation based computation and energy reduction techniques for HEVC fractional interpolation are proposed. The proposed pixel equality based computation reduction (PECR) technique does not affect the PSNR and bit-rate. The proposed pixel similarity...
Semi-autonomous driving is a huge technological step, but it also introduces a range of new challenges. Real-time control, selection and development of hardware platform, data transfer and development of algorithms are just a small collection of technical challenges to fully take advantages of such a system. The focus of this paper is analysis of some aspects of semi-autonomous driving, the corresponding...
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