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With the advent of light emitting diodes (LEDs) in lamps, new ways of user interaction with LED lamps are becoming possible. We present an LED lamp that can sense and pick up the color from an illuminating object. The principle of employing an LED as a wavelength-sensitive light sensor is employed in designing an RGB (red green blue) LED lamp. A design prototype of such an LED lamp is presented, along...
The availability of affordable cameras with additional depth sensor boosted the advances in the field of Simultaneous Localization and Mapping (SLAM). This area of research addresses creating a 3D representation of unknown environment by fusing sensor information. Whereas a coarse representation suffices for navigational purposes, the resulting 3D models are not accurate enough to allow rendering...
Smart Home spread is relatively low due to need of investments, usability issues and fears of the personal data security. To resolve these problems we suggest the reference model for the software responsible for analysis of Smart Home user behavior and simulation of the user's activities in automatic mode.
This article describes a design for integrating a telemedical rehabilitation system into a smart home concept. The focus thereby lies on the interface communication, the user benefit and the challenges of combining these complex systems. The objective of this project is, to create an easy-to-use and user-orientated system, which shows the potential of combining smart-home technology with a telemedical...
Due to the increasing bandwidth and timing requirements, next generation communication backbones in cars will most likely base on real-time Ethernet variants that satisfy the demands of the new automotive applications. The upcoming IEEE 802.1Qbv standard shows communication approaches based on coordinated time devision multiple access (TDMA) to be good candidates for providing communication with determinism...
Real-time Ethernet variants are expected to build the future communication infrastructure in cars. First camera based driver assistance functions will communicate using IEEE 802.1 AVBs credit-based shaping. But for the strict timing requirements of automotive control-traffic, AVBs current timing guarantees are insufficient. The upcoming IEEE 802.1Qbv standard proposes synchronous time-triggered traffic...
We proposed and developed a novel monocular hyper- realistic Head-Dome Projector: MHDP for an amusement application and a novel monocular windshield augmented reality projector: WARP for AR and head-up display (HUD) applications. They use monocular vision that eliminates the depth cues caused by binocular parallax information. Our developed MHDP and WARP system achieved a high hyper-reality performance...
Classification of human arm movements is an important problem in healthcare and well-being applications. In this paper, an ultrasonic Uniform Circular Array (UCA) Doppler sensing method is proposed for classifying arm movements from a given set. The method uses velocity and angular information, derived from Doppler frequencies and direction-of-arrival (DoA) by processing the signals received at the...
We built a sleep activity monitoring system that can monitor the status and actions of the user of a hospital bed, such as leaving, sitting up, changing sides, or not moving on the bed. The system calculates the load on nine sensors under the mattress to monitor changes. This system was previously made exclusively for a bed produced by Voelker GmbH (Germany). For this trial, we adapted the system...
A fall detection system using depth data acquired from a single Kinect sensor could be expanded by addition of more devices. The idea consists in equipping each sensor with an embedded board, in order to stream the collected depth data over a network, towards a central system, able to retrieve the data and process them. A preliminary evaluation of a low-complexity compression algorithm for depth streams...
In this paper, an unobtrusive, fully-automated, model-based algorithm is proposed, which is able to estimate the pose of a cyclist and track it over time to extract important pose and movement parameters. Applied techniques include background subtraction, skin detection, principal component analysis and template matching. The proposed algorithm is robust against variations in human appearance such...
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