A5071906667- Indoor and Outdoor Localization Technologies
- Ultra-Wideband Communications Technology
- Non-Invasive Vital Sign Monitoring
- GNSS positioning and interference
- Context-Aware Activity Recognition Systems
- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Modular Robots and Swarm Intelligence
- Digital Innovation in Industries
- Robotics and Sensor-Based Localization
- Wireless Networks and Protocols
- IoT and Edge/Fog Computing
- EEG and Brain-Computer Interfaces
- Robotic Path Planning Algorithms
- Target Tracking and Data Fusion in Sensor Networks
- Energy Harvesting in Wireless Networks
- Opportunistic and Delay-Tolerant Networks
- Reinforcement Learning in Robotics
- Innovation, Technology, and Society
- Wireless Body Area Networks
- Network Time Synchronization Technologies
- Real-Time Systems Scheduling
- Energy Efficient Wireless Sensor Networks
- Evolutionary Algorithms and Applications
- Robotics and Automated Systems
Bielefeld University
2015-2024
In ultra-wideband (UWB)-based wireless ranging or distance measurement, differentiation between line-of-sight (LOS), non-line-of-sight (NLOS), and multi-path (MP) conditions is important for precise indoor localization. This because the accuracy of reported measured in UWB systems directly affected by measurement (LOS, NLOS, MP). However, major contributions literature only address binary classification LOS NLOS systems. The MP condition usually ignored. fact, also has a significant impact...
The Two-Way Ranging (TWR) method is commonly used for measuring the distance between two wireless transceiver nodes, especially when clock synchronization nodes not available. For modeling time-of-flight (TOF) error in TWR, existing model, described IEEE 802.15.4-2011 standard, solely based on drift. However, it inadequate in-depth comparative analysis different TWR methods. In this paper, we propose a novel TOF Error Estimation Model (TEEM) Using proposed evaluate analytical results were...
In absence of clock synchronization, Two-Way Ranging (TWR) is the most commonly used technique for measuring distance between two wireless transceivers. The existing time-of-flight (TOF) error estimation model, IEEE 802.15.4-2011 standard, specifically based on drift error. However, it insufficient when an in-depth comparative analysis different TWR methods required. this paper, we propose extended TOF model methods, 802.15.4 standard. Using proposed perform analytical study among methods....
Brain-Computer Interfaces (BCIs) based on Steady-State Visually Evoked Potentials (SSVEPs) can be used as hand-free control device. To utilize this method in a real life scenario, we created system which smart home is controlled by BCI. Six devices the environment could with BCI system: The entrance door, wardrobe, kitchens' worktop and drawers, light of all rooms guide light. In presented paper, visual stimuli for were placed at multiple screens (placed different locations such kitchen...
In this paper we present a respiration sensor suitable for an integration into wireless body worn around the chest. The thorax expansion and contraction during in- exhalation is captured using force-sensing resistor. Based on thoracic movements, breaths are determined with peak detection algorithm. For evaluation, treadmill experiment five subjects was conducted ergospirometry system as reference. Overall, average deviation of -0.32±0.68 min <sup...
In the past, several contributions and proposals for implementation of Ultra-wideband (UWB)-based localization positioning solutions on system level were made. However, most them are limited to a unidirectional approach, i.e. data communication is in one direction (from transmitter receiver). This restricts systems' use-case either navigation or tracking. this paper, we demonstrate an UWB-based bidirectional which capable acting as both tracking single wireless platform. Regarding this,...
This work presents the novel multi-modal Variational Autoencoder approach <tex>$\mathbf{M}^{\mathbf{2}}\mathbf{VAE}$</tex> which is derived from complete marginal joint log-likelihood. allows end-to-end training of Bayesian information fusion on raw data for all subsets a sensor setup. Furthermore, we introduce concept in-place – applicable to distributed sensing - where latent embeddings observations need be fused with new data. To facilitate even data, introduced re-encoding loss...
In this paper, we analyze five true-range positioning algorithms for UWB-based localization systems.The evaluated are: (i) trilateration using a geometric method, (ii) closed-form multilateration solution least squares, (iii) an iterative approach first-order Taylor series, recursive based on (iv) the Extended Kalman Filter (EKF), and (v) Unscented (UKF).In contrast to existing comparative studies in literature, which are solely simulation results, our analysis is experimental...
In this paper we present a method to predict cognitive workload during the interaction with tablet computer. To set up predictor that estimates reflected self-reported analyzed information gain of heart rate, electrodermal activity and user input (touch) based features. From derived optimal feature Gaussian Process learner enables fine-grained short term detection workload. Average inter-subject accuracy in 10-fold cross validation is 74.1 % for 5-class problem 96.0 binary class problem.
The connected chair is part of the Supportive Personal Coach in KogniHome project, which offers guided fitness training, relaxation, and assistive functions. comes with integrated sensors, actuators, control logic wireless transceiver. sensors are able to measure respiration heart rate as well user's actions. actuators used adjust actual needs transceiver connect sensor nodes exchange data a base station. Additional value generated by connecting smart home environment, enables expands novel...
In recent decades, mapping has been increasingly investigated and applied in unmanned terrain, aerial, sea, underwater vehicles. While exploiting various techniques to build an inner representation of the environment, one most famous remaining is occupancy grid mapping. It all domains a 2D/3D fashion for localization, mapping, navigation, safe path traversal. Until now generally active range measuring sensors like LiDAR or SONAR are exploited those maps. With this work authors want overcome...
We present a novel approach of multi-modal deep generative models and apply this to coordinated heterogeneous multi-agent active sensing. A major achieve objective is train variational Auto Encoder (M <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> VAE) that integrates the information different sensor modalities into joint latent representation. Furthermore, we derive an from M VAE enables maximization evidence lower bound via selection...
In Ultra-wideband (UWB)-based wireless ranging or distance measurement, differentiation between line-of-sight~(LOS), non-line-of-sight~(NLOS), and multi-path (MP) conditions are important for precise indoor localization. This is because the accuracy of reported measured in UWB systems directly affected by measurement (LOS, NLOS MP). However, major contributions literature only address binary classification LOS systems. The MP condition usually ignored. fact, also has a significant impact on...
Evaluation of robotic experiments requires physical robots as well position sensing systems. Accurate systems detecting sufficiently all necessary degrees freedom, like the famous Vicon system, are commonly too expensive. Therefore, we target an economical multi-camera based solution by following these three requirements: Using multiple cameras to track even large laboratory areas, applying fiducial marker trackers for pose identification, and fuse tracking hypothesis resulting from via...
Raising the awareness of being physically active by utilizing wearable body sensors has become a popular research topic. Recent approaches combine physical and physiological information to obtain precise prediction person;s activity ratio. However, error in determination due invalid values that are resulting from underlying signal disturbances, so far not been considered. We therefore present robust measure fuses accelerometer data, heart rate other personalized features, is adaptively...
Energy efficiency is the most outstanding design criterion for wireless sensor nodes and especially body sensors. Because a detailed measurement of system's power consumption not possible during process often too complex already manufactured devices, has to be estimated. This leads need comprehensive modular model WSNs, which proposed in this work. Due structure user able get first estimate an early stage (e.g. choose components) more accurate estimation later by lowering abstraction level....
Today's high complexity and required expertise in various disciplines for data-based evaluations of shop-floor assets is challenging. This paper describes the ongoing development towards an Industry 4.0 ecosystem enabling Smart Services to network autonomously. Three partial solutions are combined this purpose: digital twins, automated data streams a Service toolbox. A prototypical implementation proves general practicability. Furthermore, future work outlined achieve full autonomy.
Body sensors have a promising contribution to health promotion in many areas of daily life (telemedicine, corporate care or recreational sports). However, the valid measurement vital signs and kinematic data strongly depends on signals' quality users' compliance (proper usage). Although, there is lot research work concerning accuracy calibration wireless body human user typically not involved. Thus, this work, we present software assistant (wizard) that guides users during process attaching...