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Range-Doppler Radar sensor fusion for Fall Detection

Range-Doppler Radar Sensor Fusion for Fall Detection

引用

IEEE Radar conference (RadarConf)

作者： Erol, Baris Amin, Moeness G. Boashash, Boualem Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Qatar Univ Coll Engn Dept Elect Engn Doha Qatar

ISBN: (纸本)9781467388238

Falls are the major cause of accidents in the elderly population. Propelled by their non-intrusive sensing capabilities and robustness to heat and lighting conditions, radar-based automated fall detection systems have emerged as a candidate technology for reliable fall detection in assisted living. The use of a multiple radar system, in lieu of a single radar unit, for indoor monitoring combats occlusion and supported by the fact that motion articulations in the directions away from the line of sight generate weak Doppler signatures that are difficult to detect and classify. fusion of the data from two radars is deemed to improve performance and reduce false alarms. Utilizing two 24 GHz ultra-wide band (UWB) radar sensing systems, we present different fusion architectures and sensor selection methods, demonstrating the merits of two-sensor platform for indoor motion monitoring and elderly care applications.

关键词： Transportation Supply and demand Programming Linear programming Approximation algorithms Resource management

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Towards sensor position-invariant hand gesture recognition using a mechanomyographic interface 21

Towards sensor position-invariant hand gesture recognition u...

引用

conference on Signal Processing: algorithms, architectures, Arrangements, and applications (SPA)

作者： Kaczmarek, Piotr Mankowski, Tomasz Tomczynski, Jakub Poznan Univ Tech Inst Control & Informat Engn Poznan Poland

ISBN: (纸本)9788362065301

This paper presents a study on the feasibility of an interface based on a mechanomyographic signal (MMG). Existing state-of-the-art studies show attempts of utilisation of MMG signal for gesture recognition where the sensors' location is strictly defined with respect to muscle position. A test setup consisting of 5 IMU sensors arranged in a band form was used. The classifier for 5 gestures (fist, pronation, supination, flexion, extension) and idle state was implemented by using a feed forward neural network with softmax output. The feature vector consists of 18 features: 5 representing muscle activity (RMS) and 13 parameters corresponding to relative sensor orientation, being indicators of local skin surface deformation evoked by muscle shortening. It was shown that taking relative sensor orientation into consideration, was a crucial factor for improvement of classification performance and position invariance. The interface was tested on three subjects, in three distinct orientations. The results showed that average performance represented by F-1 score was 94 +/- 6%.

关键词： Muscles Skin Electromyography Accelerometers Gesture recognition Acceleration Geometry

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4th International conference on Modelling and Simulation for Autonomous Systems, MESAS 2017

4th International Conference on Modelling and Simulation for...

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4th International conference on Modelling and Simulationfor Autonomous Systems, MESAS 2017

ISBN: (纸本)9783319760711

The proceedings contain 32 papers. The special focus in this conference is on Modelling and Simulation for Autonomous Systems. The topics include: Design of an indoor autonomous robot navigation system for unknown environments;Fractional order sliding mode control system design for nonlinear MIMO systems with time-varying delay;dynamic modelling of a streamer of hydrophones towed with an autonomous underwater vehicle;qualitative analysis of a robot control based on sub-riemannian distance;Control algorithms for rescue robot RUDA;application of augmented reality in mobile robot teleoperation;accuracy evaluation method of multispectral data fusion for robotic systems;operational scenario modelling supporting unmanned autonomous systems concept development;Modelling and simulation to support the counter drone operations (NMSG-154);autonomous 3D exploration of large areas: A cooperative frontier-based approach;advanced military robots supporting engineer reconnaissance in military operations;Decision support for wide area search in a radiological threat scenario: for intelligent reachback using complex DSS architectures;a verification, validation and accreditation process for autonomous interoperable systems;aspects of the surface-to-air missile systems modelling and simulation;Experiments with the UAS reconnaissance model in the real environment;first responders robotic network for disaster management;aspects of technical requirements for the future autonomy of military vehicles;training with and of autonomous system – modelling and simulation approach;using telemetry for maintenance of special military vehicles;possibilities of modelling and simulation in military engineering;Modelling of a group of social agents monitored by UAVs;discrete event simulation in future military logistics applications and aspects;route optimization for cooperative aerial reconnaissance.

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Indoor positioning using federated Kalman Filter

Indoor positioning using federated Kalman Filter

引用

IEEE Signal Processing and Communications applications (SIU)

作者： Tank Ayabakan Feza Kerestecioğlu Savaş Sistemleri Başmühendisliği İstanbul Tersanesi Komutanlığı İstanbul Türkiye Kadir Has Universitesi Istanbul TR

In this paper, one of the multi sensor fusion techniques, namely Federated Kalman Filter (FKF) performance is studied for Indoor Positioning problem. Kalman Filters having centralized and decentralized structures are widely used for outdoor positioning and navigation applications. Besides them, indoor positioning received large interest in recent years. In this study, decentralized FKF is applied in indoor positioning problem by taking its outdoor navigation performance into consideration. Simulations are done using distance measurements assumed to be priorly calculated. Results gathered via simulations are evaluated to be promising for future studies.

关键词： Kalman filters Global Positioning System Wireless fidelity Reactive power Filtering algorithms sensor fusion

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38th International conference on Information Systems Architecture and Technology, ISAT 2017

38th International Conference on Information Systems Archite...

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38th International conference on Information Systems Architecture and Technology, ISAT 2017

ISBN: (纸本)9783319672281

The proceedings contain 101 papers. The special focus in this conference is on Information Systems Architecture and Technology. The topics include: Use of the modified EPSILON decomposition for the LTI models reduction;modified HALS algorithm for image completion and recommendation system;proposal of input shaper in real applications;a structure-driven process of automated refactoring to design patterns;modeling autoreferential relationships in association-oriented database metamodel;identification of objects based on generalized amplitude-phase images statistical models;fundamental transforms and models;an intelligent multi-agent system framework for fault diagnosis of squirrel-cage induction motor broken bars;performance comparison of neural network training algorithms for load forecasting in smart grids;the experiment with quality assessment method based on strategy design pattern example;development of a support system for managing the cyber security of information and communication environment of transport;brainstorming sessions – towards improving effectiveness and assessment of ideas generation;analysis of IMS/NGN call processing performance using phase-type distributions based on experimental histograms;motion repeatability of tennis forehand preparation phase without the ball using three dimensional data;towards standardized mizar environments;formalization of the nominative algorithmic algebra in mizar;military and crisis management decision support tools for situation awareness development using sensor data fusion;a practical approach to tiling zuker’s RNA folding using the transitive closure of loop dependence graphs and on loss process in a queueing system operating under single vacation policy.

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System on Chip Generation for Multi-sensor and sensor fusion applications 17

System on Chip Generation for Multi-Sensor and Sensor Fusion...

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17th Annual International conference on Embedded Computer Systems - architectures, Modeling, and Simulation (SAMOS)

作者： Lieske, Tobias Pfundt, Benjamin Vaas, Steffen Reichenbach, Marc Fey, Dietmar Friedrich Alexander Univ Erlangen Nurnberg FAU Chair Comp Architecture Dept Comp Sci Erlangen Germany

ISBN: (纸本)9781538634370

The amount of smart devices in our daily lives has dramatically increased. Many of these devices include sensors to capture their environment and communicate with other devices, forming the internet of things (IoT). A similar process of increasing intercommunication and digitization can be seen in industry where this development is called Industry 4.0. In this new era there is a strong demand for new computing architectures that fulfill the tight energy constraints as well as deliver enough on-chip processing performance. Off-the-shelf microcontrollers do not suffice both requirements as the power to performance ratio is too high. One solution are system on chip (SoC) architectures with domain specific application specific processors (ASIP). However, this new and competitive market requires a strongly reduced time to market. Thus, it is necessary to speed up the design process and deliver enough flexibility to adapt to new applications. Therefore, we propose a new SoC generation framework, which is based on an ASIP architecture. Architectural templates can be combined with existing intellectual property (IP) components, high-level synthesis (HLS) or hardware description language (HDL) code to speed up the design process. Both field programmable gate array (FPGA) and application specific integrated circuit (ASIC) back ends are supported. The architecture targets primarily multi-sensor and sensor fusion applications. A customizable MIPS processor with an adaptable compiler toolchain ensures interoperability in standard networks. The capabilities of our SoC architecture is demonstrated on two real world problems, including a performance demanding power quality monitoring application and a low-power swimming exercise tracking applications. Results show that the application constraints can be easily fulfilled while increasing speed and flexibility in the design process.

关键词： IoT SoC generation MIPS power quality monitoring biosignal processing

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Road surface roughness estimation employing integrated position and acceleration sensor 21

Road surface roughness estimation employing integrated posit...

引用

conference on Signal Processing: algorithms, architectures, Arrangements, and applications (SPA)

作者： Szczodrak, Maciej Marciniuk, Karolina Czyzewski, Andrzej Gdansk Univ Technol Fac Elect Telecommun & Informat Multimedia Syst Dept Narutowicza 11-12 PL-80233 Gdansk Poland

ISBN: (纸本)9788362065301

Assessment of a surface quality being an essential task for the authorities supervising the roads provides the subject of the paper. Information about riding quality of a pavement, important for drivers, both in terms of their comfort and safety is collected during experiments employing mobile sensors. The paper describes the use of a miniature position and acceleration sensor for evaluation of the roughness of the road surface. The device designed for the installation in vehicles includes a built-in multi-axis accelerometer and a GPS receiver. Measurement data were collected on the basis of road trip records with regards to diversified roughness of the surface and to varied vehicle speed on each investigated road section. Data were gathered for various vehicle body types and then attempts were made to the classification of the road surface based on the created algorithm.

关键词： Roads Accelerometers Vibrations Automobiles Suspensions Transforms Rough surfaces

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Multi-sensor Information fusion and its Application Analysis

Multi-sensor Information Fusion and its Application Analysis

引用

2018 2nd International conference on Systems,Computing,and applications(SYSTCA 2018)

作者： Yan Zhang Xi'an Peihua University

From the last century, multi-sensor information fusion has been well developed on a global scale. This technology mainly uses computer technology to carry out automatic analysis and synthesis under the corresponding criteria by multi-sensor or multi-source information data, so as to complete the information processing work required by the required decision and estimation. The wide application of this technology has brought great benefits to the work and life and learning of modern people, and promoted the improvement of information technology in China. Based on the description of multi-sensor information fusion, this paper discusses the main algorithms of multi-sensor information fusion, and proposes the application of multi-sensor information fusion in different fields.

关键词： Multi-sensor information fusion application

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sensor fusion: A Review of Methods and applications 29

Sensor Fusion: A Review of Methods and Applications

引用

第29届中国控制与决策会议

作者： Man Lok Fung Michael Z.Q.Chen Yong Hua Chen Department of Mechanical Engineering University of Hong Kong

This paper aims to present a brief overview of the development of sensor fusion in various application in recent years, and to understand the challenges and ability of sensor fusion. Various algorithms that are typica... 详细信息

ISBN: (纸本)9781509046584

关键词： Multi-sensor fusion fusion algorithm fusion applications

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Real-Time Dynamic Data Processing and fusion: Multi-Degree-of-Freedom MEMS Inertial sensors

Real-Time Dynamic Data Processing and Fusion: Multi-Degree-o...

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IEEE International conference on Electronics and Nanotechnology (ELNANO)

作者： Liam Herlihy Sergey Edward Lyshevski Department of Electrical and Microelectronic Engineering Rochester Institute of Technology Rochester NY USA

ISBN: (纸本)9781538663844

Our scholarly research and algorithmic developments are focused on analysis and improvement of data quality in microsystem-technology inertial sensors. Triaxial precision accelerometers, gyroscopes, magnetometers and pressure sensors must be integrated with physics-consistent and data-intensive processing microelectronics. The low-power inertial sensors combine physical and cyber components, such as, micromachined and solid-state sensing elements, processing and interfacing hybrid integrated circuits, processors, software, middleware, etc. High-performance inertial systems are of an importance in various applications, such as aerial, ground and underwater vehicles, precision instrumentation, robotics, machine control, wearable electronics, etc. We develop and substantiate analytic results, protocols and algorithms for data processing, fusion and management. Our experimental laboratory studies support proposed solutions, validate processing algorithms, prove software-hardware co-design, and, substantiate technology components.

关键词： Probability density function Time measurement Accelerometers Signal processing algorithms Heuristic algorithms sensor fusion

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