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sensor fusion-oriented Fall Detection for Assistive Technologies applications

Sensor Fusion-oriented Fall Detection for Assistive Technolo...

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9th International conference on Intelligent Systems Design and applications

作者： Cagnoni, Stefano Matrella, Guido Mordonini, Monica Sassi, Federico Ascari, Luca Univ Parma Dipartimento Ingn Informaz Viale Usberti 181A I-43124 Parma Italy Henesis srl I-43100 Parma Italy

ISBN: (纸本)9781424447350

A new trend in modern Assistive Technologies implies making extensive use of ICT to develop efficient and reliable "Ambient Intelligence" applications dedicated to disabled, elderly or frail people. In this paper we describe two fall detectors, based on bio-inspired algorithms. Such devices can either operate independently or be part of a modular and easily extensible architecture, able to manage different areas of an intelligent environment. In this case, effective data fusion can be achieved, thanks to the complementary nature of the sensors on which the detectors are based. One device is based on vision and can be implemented on a standard FPGA programmable logic. It relies on a simplified version of the Particle Swarm Optimization algorithm. The other device under consideration is a wearable accelerometer-based fall detector, which relies on a recent soft-computing paradigm called Hierarchical Temporal Memories (HTMs).

关键词： Computation theory

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Biologically-inspired robust and adaptive multi-sensor fusion and active control

Biologically-inspired robust and adaptive multi-sensor fusio...

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Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2009

作者： Khosla, Deepak Dow, Paul A. Huber, David J. HRL Laboratories LLC Malibu CA United States

ISBN: (纸本)9780819476111

In this paper, we describe a method and system for robust and efficient goal-oriented active control of a machine (e.g., robot) based on processing, hierarchical spatial understanding, representation and memory of multimodal sensory inputs. This work assumes that a high-level plan or goal is known a priori or is provided by an operator interface, which translates into an overall perceptual processing strategy for the machine. Its analogy to the human brain is the download of plans and decisions from the pre-frontal cortex into various perceptual working memories as a perceptual plan that then guides the sensory data collection and processing. For example, a goal might be to look for specific colored objects in a scene while also looking for specific sound sources. This paper combines three key ideas and methods into a single closed-loop active control system. (1) Use high-level plan or goal to determine and prioritize spatial locations or waypoints (targets) in multimodal sensory space;(2) collect/store information about these spatial locations at the appropriate hierarchy and representation in a spatial working memory. This includes invariant learning of these spatial representations and how to convert between them;and (3) execute actions based on ordered retrieval of these spatial locations from hierarchical spatial working memory and using the "right" level of representation that can efficiently translate into motor actions. In its most specific form, the active control is described for a vision system (such as a pantilt-zoom camera system mounted on a robotic head and neck unit) which finds and then fixates on high saliency visual objects. We also describe the approach where the goal is to turn towards and sequentially foveate on salient multimodal cues that include both visual and auditory inputs. © 2009 SPIE.

关键词： Data handling

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Multisensor information compression and reconstruction

Multisensor information compression and reconstruction

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Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2009

作者： Bing, Du Liang, Liu Jun, Zhang School of Electronics and Information Engineering Beihang Univ. XueYuan Road 37 Haidian District Beijing 100191 China

ISBN: (纸本)9780819476111

In this paper, we propose a method of sampled data compression and reconstruction using the theory of distributed compressed sensing for wireless sensor network, in which the correlation between the sensors is considered for joint sparsity representation, compression and reconstruction of the signals. And incoherent random projection CS matrix in each sensor is as encoding matrix to generate compressed measurements for storing, delivering and processing. The reconstruction algorithm with both acceptable complexity and precision is developed for noise corrupted measurements by fully utilizing of correlations diversity. The simulation shows that the number of measurements only slightly larger than the sparsity of the sampled sensor data is needed for successful recovery. © 2009 SPIE.

关键词： Wireless sensor networks

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Real-Time Estimation of Roll Angle and CG Height for Active Rollover Prevention applications

Real-Time Estimation of Roll Angle and CG Height for Active ...

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American Control conference 2009

作者： Rajamani, R. Piyabongkarn, D. Tsourapas, V. Lew, J. Y. Univ Minnesota Minneapolis MN 55455 USA Eaton Corp Innovat Ctr Eden Prairie MN 55344 USA

ISBN: (纸本)9781424445233

Roll angle and height of the center of gravity are important variables that play a critical role in the calculation of real-time rollover index for a vehicle. The rollover index predicts the real-time propensity for rollover and is used in activation of rollover prevention systems such as differential braking based stability control systems. sensors to measure roll angle are expensive. sensors to estimate the e.g. height of a vehicle do not exist. While the height of the center-of-gravity does not change in real-time, it does change with the number of passengers and loading of the vehicle. This paper focuses on algorithms to estimate roll angle and e.g. height. The algorithms investigated include a sensor fusion algorithm that utilizes a low frequency tilt angle sensor and a gyroscope and a dynamic observer that utilizes only a lateral accelerometer and a gyroscope. The performance of the developed algorithms is investigated using simulations and experimental tests. Experimental data confirm that the developed algorithms perform reliably in a number of different maneuvers that include constant steering, ramp steering, double lane change and sine with dwell steering tests.

关键词： Steering

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Quality of Service in Heterogeneous Networks - 6th International ICST conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2009 and 3rd International Workshop on Advanced architectures and algorithms for Internet Delivery and applications, AAA-IDEA 2009, Proceedings

Quality of Service in Heterogeneous Networks - 6th Internati...

引用

6th International ICST conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2009 and 3rd International Workshop on Advanced architectures and algorithms for Internet Delivery and applications, AAA-IDEA 2009

ISBN: (纸本)3642106242

The proceedings contain 51 papers. The topics discussed include: towards real-time stream quality prediction: predicting video stream quality from partial stream information;opportunistic multipath routing in wireless mesh networks;gateways congestion-aware design of multi-radio wireless networks;novel analytical delay model and burst assembly scheme for wireless mesh and optical burst switching convergence;adaptive data quality for persistent queries in sensor networks;on-demand node reclamation and replacement for guaranteed area coverage in long-lived sensor networks;variable density deployment and topology control for the solution of the sink-hole problem;cell breathing based on supply-demand model in overlapping WLAN cells;resource-optimized quality-assured ambiguous context mediation in pervasive environments;performance-adaptive prediction-based transport control over dedicated links;and probabilistic network loads with dependencies and the effect on queue sojourn times.

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Repeater-Assisted Capacity Enhancement (RACE) for LOS MIMO Point-to-Multipoint Links

Repeater-Assisted Capacity Enhancement (RACE) for LOS MIMO P...

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IEEE Military Communications conference (MILCOM 2009)

作者： Walkenhorst, Brett T. Ingram, Mary Ann Georgia Tech Res Inst Atlanta GA 30332 USA Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9781424452385

We present here an exploration of enabling MIMO spatial multiplexing in a long range LOS point-to-multipoint link such as might be found in a ground-to-air sensor network backhaul or LOS cellular configuration. The paper focuses on the capacity between a single multi-antenna sensor and an airborne multi-antenna transceiver, facilitated by an airborne single-antenna repeater. The multi-point aspect is treated by showing the regions on the ground where any multiple-antenna sensor in those regions could receive high capacity service. This repeater-assisted capacity enhancement (RACE) technique yields a capacity improvement of approximately a factor of two relative to the configuration without the repeater. A large geographical area may be serviced by proper design of system parameters. In the sensor network backhaul configuration, this capacity improvement may enable higher fidelity sensor fusion algorithms than currently possible because of link limitations. In the cellular configuration or any multi-user communication system, this technique may enable data-intensive applications that would otherwise be unavailable because of data rate constraints. To aid the reader in understanding the analysis, a separable metric for capacity is developed, which allows us to consider the impact of the TX/RX configurations separately. This metric may be helpful for other analyses where the RACE concept is found to be useful.

关键词： MIMO wireless repeater point-to-multipoint sensor backhaul cellular

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RECOVERY OF THE RESPONSE CURVE OF A DIGITAL IMAGING PROCESS BY DATA-CENTRIC REGULARIZATION

RECOVERY OF THE RESPONSE CURVE OF A DIGITAL IMAGING PROCESS ...

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4th International conference on Computer Vision Theory and applications

作者： Herwig, Johannes Pauli, Josef Univ Duisburg Essen Fak Ingn Wissensch Abt Informat & Angewandte Kognit Wissensch D-47057 Duisburg Germany

ISBN: (纸本)9789898111692

A method is presented that fuses multiple differently exposed images of the same static real-world scene into a single high dynamic range radiance map. Firstly, the response function of the imaging device is recovered, that maps irradiating light at the imaging sensor to gray values, and is usually not linear for 8-bit images. This nonlinearity affects image processing algorithms that do assume a linear model of light. With the response function known this compression can be reversed. For reliable recovery the whole set of images is segmented in a single step, and regions of roughly constant radiance in the scene are labeled. Under- and overexposed parts in one image are segmented without loss of detail throughout the scene. From these segments and a parametrization of digital film the slope of the response curve is estimated, whereby various noise sources of an imaging sensor have been modeled. From its slope the response function is recovered and images are fused. The dynamic range of outdoor environments cannot be captured by a single image. Valuable information gets lost because of under- or overexposure. A radiance map overcomes this problem and makes object recognition or visual self-localisation of robots easier.

关键词： sensor modeling Sensitometry Photometric calibration High dynamic range imaging Image fusion Image acquisition Radiance mapping Image segmentation

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Chemical sensors for Water Monitoring - Diversity of Approaches to Behavioral Modeling

Chemical Sensors for Water Monitoring - Diversity of Approac...

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conference on Photonics applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments

作者： Ogrodzki, Jan Warsaw Univ Technol Inst Elect Syst PL-00665 Warsaw Poland

ISBN: (纸本)9780819478139

Mathematical models of chemo-electrical characteristics of ion-sensitive chemical sensors is essential for development of measuring algorithms to be implemented in firmware of water probes. A crucial point of algorithms like these is a data fusion task, where a matrix of sensors sensitive to a matrix of ions give a matrix of electrical responses. Hence unknown ion activities may be calculated if a parameterized mathematical model of sensor is known. During three years of activity in FP6 WARMER project a diversity of physical and behavioral approaches to sensors modeling has been considered. Since a model selection influence accuracy of measurements, then a plenty of different modeling approaches was discussed and practically verified on the base of laboratory measurements of sensors. Some typical measurements have been used and verification of accuracy of existing has been performed. This contribution contains a discussion of possibilities of modeling of potentiometric sensors. Several physical and behavioral models have been taken into account. It has been shown that in data fusion application essential is small number of parameters and small calculation complexity since accuracy of model has not to be better than accuracy of sensors which is rather low. Hence we must focus on a trade-off between necessity of accurate modeling and availability of accurate sensors.

关键词： water monitoring potentiometric sensors physical modeling behavioral modeling data fusion

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2009 IEEE International conference on Computational Intelligence for Measurement Systems and applications, CIMSA 2009

2009 IEEE International Conference on Computational Intellig...

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2009 IEEE International conference on Computational Intelligence for Measurement Systems and applications, CIMSA 2009

ISBN: (纸本)9781424438204

The proceedings contain 60 papers. The topics discussed include: novel gait recognition technique based on SVM fusion of PCA-processed contour projection and skeleton model features;three-dimensional finite element modeling of cochlear implant induced electrical current flows;a distributed technique for recognition and retrieval of faces with time varying expressions;nonlinear static decoupling of six-dimension force sensor for walker dynamometer system based on artificial neural network;automatic maintenance route planning of large-scale sensor networks;a high precision VLSI loser-take-all circuit for neural networks and fuzzy systems;unsupervised feature selection algorithms for wireless sensor networks;ontology-based digital photo annotation using multi-source information;video image super-resolution restoration based on iterative back-projection algorithm;and motion planning in unknown environment using an interval fuzzy Type-2 and neural network classifier.

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4th International Multi-conference on Computing in the Global Information Technology, ICCGI 2009

4th International Multi-Conference on Computing in the Globa...

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4th International Multi-conference on Computing in the Global Information Technology, ICCGI 2009

ISBN: (纸本)9780769537511

The proceedings contain 45 papers. The topics discussed include: factors that affect the successful implementation of a data warehouse;an efficient index method for moving objects databases in fixed networks;how to optimize the quality of sensor data streams;towards the optimized personalized therapy of speech disorders by data mining techniques;an architecture for a semantic web management system;a similarity measurement framework for requirements engineering;file storage for a multimedia database server for image retrieval;effective page recommendation algorithms based on distributed learning automata;university course scheduling using evolutionary algorithms;information technology architectures for grid computing and applications;feedback impact analysis of queueing system with stable states;and a new method for enterprise architecture assessment and decision-making about improvement or redesign.

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