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检索条件"任意字段=Proceedings First Int Conf Event Based Control Commu Signal Processing"

共 45 条记录，以下是1-10 订阅

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Feature Space Reduction for Human Activity Recognition based on Multi-channel Biosignals 14

Feature Space Reduction for Human Activity Recognition based...

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14th international Joint conference on Biomedical Engineering Systems and Technologies (BIOSTEC) / 14th int conf on Bio-inspired Systems and signal processing (BIOsignalS) / 14th int conf on Biomedical Electronics and Devices (BIODEVICES)

作者： Hartmann, Yale Liu, Hui Schultz, Tanja Univ Bremen Cognit Syst Lab Bremen Germany

ISBN: (纸本)9789897584909

In this paper, we study the effect of Feature Space Reduction for the task of Human Activity Recognition (HAR). For this purpose, we investigate a Linear Discriminant Analysis (LDA) trained with Hidden Markov Models (HMMs) force-aligned targets. HAR is a typical application of machine learning, which includes finding a lower-dimensional representation of sequential data to address the curse of dimensionality. This paper uses three datasets (CSL19, UniMiB, and CSL18), which contain data recordings from humans performing more than 16 everyday activities. Data were recorded with wearable sensors integrated into two devices, a knee bandage and a smartphone. first, early-fusion baselines are trained, utilizing an HMM-based approach with Gaussian Mixture Models to model the emission probabilities. Then, recognizers with feature space reduction based on stacking combined with an LDA are evaluated and compared against the baseline. Experimental results show that feature space reduction improves balanced accuracy by ten percentage points on the UniMiB and seven points on the CSL18 datasets while remaining the same on the CSL19 dataset. The best recognizers achieve 93.7 +/- 1.4% (CSL19), 69.5 +/- 8.1% (UniMiB), and 70.6 +/- 6.0% (CSL18) balanced accuracy in a leave-one-person-out cross-validation.

关键词： Human Activity Recognition Biosignals Multi-channel signal processing Feature Space Reduction Stacking

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Prototype Reduction on sEMG Data for Instance-based Gesture Learning towards Real-time Prosthetic control 14

Prototype Reduction on sEMG Data for Instance-based Gesture ...

引用

作者： Sziburis, Tim Nowak, Markus Brunelli, Davide Ruhr West Univ Appl Sci Dept Comp Sci D-45407 Mulheim Germany German Aerosp Ctr DLR Inst Robot & Mechatron D-82234 Wessling Germany Univ Trento Dept Ind Engn DII I-38123 Trento Italy

ISBN: (纸本)9789897584909

Current systems of electromyographic prostheses are controlled by machine learning techniques for gesture detection. Instance-based learning showed promising results concerning classification accuracy and robustness without explicit model training. However, it suffers from high computational demands in the prediction phase, which can be problematic in real-time scenarios. This paper aims at combining such learning schemes with the concept of prototype reduction to decrease the amount of data processed in each prediction step. first, a suitability assessment of state-of-research reduction algorithms is conducted. This is followed by a practical feasibility analysis of the approach. For this purpose, several datasets of signal classes from exerting specific gestures are captured with an eight-channel EMG armband. based on the recorded data, prototype reduction algorithms are comparatively applied. The dataset reduction is characterized by the time needed for reduction as well as the possible data reduction rate. The classification accuracy when using the reduced set in cross validation is analyzed with an exemplary kNN classifier. While showing promising values in reduction time as well as excellent classification accuracy, a reduction rate of over 99% can be achieved in all tested gesture configurations. The reduction algorithms LVQ3 and DSM turn out to be particularly convenient.

关键词： Surface Electromyography Embedded Systems Wearable Systems Prototype Reduction Dataset Reduction Instance-based Learning Gesture Recognition Machine Learning Prosthetics

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Impedance control of a Robot Needle with a Fiber Optic Force Sensor 13

Impedance Control of a Robot Needle with a Fiber Optic Force...

引用

13th IEEE international conference on signal processing (ICSP)

作者： Xiao, Lifang Yang, Tangwen Huo, Benyan Zhao, Xingang Han, Jianda Xu, Weiliang Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang Liaoning Peoples R China Univ Auckland Dept Mech Engn Auckland New Zealand

ISBN: (纸本)9781509013456

In this paper, an impedance control is proposed for a robotic needle with a fiber optic force sensor. The fiber optic force sensor is placed at the tip of the needle to directly measure the interaction force between needle and soft tissue, overcoming the noise like friction force. The sensor is sensitive to the temperature condition, and their relationship is first established, and then used to compensate for the temperature influence to enhance the force measurement. An impedance control is presented based on insertion model whose impedance parameters are identified in terms of acquired test data, and experimental results show that the control strategy is effective to avoid excessive insertion force, reducing the risk of robotic needle.

关键词： robotic needle impedance control fiber optic force sensor temperature compensation

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A Bayesian Decision Classification Method for Multiple Categories 13

A Bayesian Decision Classification Method for Multiple Categ...

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13th IEEE international conference on signal processing (ICSP)

作者： Jiang, Ying Wang, Yanjiang China Univ Petr Coll Informat & Control Engn Qingdao Peoples R China

ISBN: (纸本)9781509013456

In this paper, we propose a novel multiple categories classification approach based on the Bayesian decision classification method using the dense SIFT feature. first, the dense scale invariant feature transform (SIFT) feature for each image belonging to various categories is extracted as image representation. Second, the statistical models for multiple categories are established by estimating the conditional PDFs (probability density functions). Each category is modeled to follow the multivariate normal distribution, respectively. Finally, we classify the probe images to the category with the maximum posterior probability under the Bayesian framework. Experimental results on three databases demonstrate the performance of the proposed method.

关键词： dense SIFT Bayesian decision statistical modeling image classification category detection

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Reconstruction of event-based Sampled signal using Adaptive Weights Method 1

Reconstruction of Event-Based Sampled Signal using Adaptive ...

引用

proceedings first int conf event based control commu signal processing

作者： Grybos, Anna AGH Univ Sci & Technol Fac Appl Math Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9781467378888

The paper focuses on the event-driven signal processing and the application of irregular sampling theory and frames to the problems of the event-driven sampling and signal reconstruction. Our approach consists of the application of the frame algorithm enhanced with adaptive weights method to the reconstruction of the signal from the irregular samples obtained by the send-on-delta sampling scheme. We analyse the examples of signal recovery and set some perspectives for the further development.

关键词： Algorithm design and analysis Approximation methods Image reconstruction signal processing signal processing algorithms Wireless sensor networks

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Efficient High Speed signal Estimation with Neuromorphic Vision Sensors 1

Efficient High Speed Signal Estimation with Neuromorphic Vis...

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proceedings first int conf event based control commu signal processing

作者： Mueller, Erich Censi, Andrea Frazzoli, Emilio

ISBN: (纸本)9781467378888

Recently developed neuromorphic vision sensors present a high speed, event-based alternative to conventional vision in robotic systems. We present a method for the design of simple, low computation estimators that take advantage of the remarkable properties of these sensors to provide low latency, high bandwidth sensing for feedback control of fast dynamical systems. It is shown that under certain circumstances a simple transformation of the event stream from such a sensor can allow it to be treated as an asynchronous configuration sensor, with minimal computation required to achieve high speed signal reconstruction. These results are applicable to any robotic control problems requiring high performance visual feedback control with low computation.

关键词： Brightness Neuromorphics Noise Robot sensing systems Sensor systems Voltage control

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An event Driven Technique for Filtering Computational Complexity Reduction 1

An Event Driven Technique for Filtering Computational Comple...

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proceedings first int conf event based control commu signal processing

作者： Qaisar, Saeed Mian Effat Univ Jeddah 21478 Saudi Arabia

ISBN: (纸本)9781467378888

This work is a contribution to enhance the signal processing chain required in mobile systems like satellites, cell phones, biomedical implants remote motors, etc. The system is powered by a battery therefore it must be power efficient. Filtering is a basic operation, almost required in every signal processing system. The classical filtering is time-invariant, the sampling frequency and the filter order remains unique. Therefore it can render a useless increase of the processing activity, especially in the case of sporadic signals. In this context an adaptive rate filtering technique, based on an event driven sampling is devised. It adapts the sampling frequency and the filter order by analysing the input signal characteristics. It correlates the processing activity to the signal variations. The computational complexity and the output quality of the proposed technique are compared to the classical one for a speech signal. Results show a drastic computational gain, of the proposed technique compared to the classical one, along with a comparable output quality.

关键词： Computational efficiency event driven sampling event driven processing Activity selection processing error

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Guaranteed H₂ Performance in Distributed event-based State Estimation 1

Guaranteed <i>H</i><sub>2</sub> Performance in Distributed E...

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proceedings first int conf event based control commu signal processing

作者： Muehlebach, Michael Trimpe, Sebastian Swiss Fed Inst Technol Inst Dynam Syst & Control Zurich Switzerland Max Planck Inst Intelligent Syst Autonomous Mot Dept Stuttgart Germany

ISBN: (纸本)9781467378888

Multiple agents sporadically exchange data over a broadcast network according to an event-based protocol to observe and control a dynamic process. The synthesis problem of each agent's state estimator and event generator, which decides whether information is broadcast or not, is addressed in this paper. In particular, a previously proposed LMI-synthesis procedure guaranteeing closed-loop stability is extended to incorporate an H-2 performance measure. The improved estimation performance of the extended design is illustrated in simulations of an inverted pendulum, which is stabilized by two agents.

关键词： control systems Measurement uncertainty Observers Stability criteria Time measurement

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event-based Stabilizing controller Using a State Observer 1

Event-Based Stabilizing Controller Using a State Observer

引用

proceedings first int conf event based control commu signal processing

作者： Meslem, Nacim Prieur, Christophe Gipsa Lab Dept Automat Control 11 Rue MathGrenoble Compus BP46 F-38402 St Martin Dheres France

ISBN: (纸本)9781467378888

In order to reduce communication in network control systems, it is of great interest to be able to synthesize event-triggered control laws from continuous-time controls. This work proposes a new rule to design event-based stabilizing controllers for linear systems. More precisely, based on a given reference system, a state observer, and a quadratic Lyapunov-like function, an event-based sampling algorithm has been designed. In this framework, the stability and the convergence rate of the controlled system towards its steady state depend on the dynamical properties of the reference system and the state observer and the used feedback gain. In addition, the event-triggering condition does not require the knowledge of the state vector of the process to be stabilized.

关键词： Asymptotic stability Convergence Linear systems Observers Trajectory Tuning

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Comparison of different sampling schemes for wireless control subject to packet losses 1

Comparison of different sampling schemes for wireless contro...

引用

proceedings first int conf event based control commu signal processing

作者： Lindberg, Carl-Fredrik Isaksson, Alf J. ABB Corp Res SE-72178 Vasteras Sweden

ISBN: (纸本)9781467378888

Three different approaches to reduce the amount of communication in wireless control subject to packet losses have been evaluated in an extensive simulation study. The sampling approaches are: slow periodic, event-based and self-triggered sampling. They are ranked based on their integrated absolute error (IAE) control performance and also compared with fast periodic sampling. The three approaches have surprisingly equal control performance in the nominal case (without packet losses) for a wide range of test scenarios (process models, controller tunings etc.). With packet losses the importance of re-transmissions becomes evident.

关键词： Wireless control Sampling schemes Packet loss event-based sampling Self-triggered sampling Periodic sampling

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