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A Comparison among Different Strategies to Detect Potential Unstable Behaviors in Postural Sway

SENSORS 2022年第19期22卷 7106页

作者： Ando, Bruno Baglio, Salvatore Graziani, Salvatore Marletta, Vincenzo Dibilio, Valeria Mostile, Giovanni Zappia, Mario Univ Catania Dept Elect Elect & Informat Engn DIEEI I-95125 Catania Italy Univ Catania Dept Med Surg Sci & Adv Technol GF Ingrassia I-95100 Catania Italy Oasi Res Inst IRCCS I-94018 Troina Italy

Assistive Technology helps to assess the daily living and safety of frail people, with particular regards to the detection and prevention of falls. In this paper, a comparison is provided among different strategies to analyze postural sway, with the aim of detecting unstable postural status in standing condition as precursors of potential falls. Three approaches are considered: (i) a time-based features threshold algorithm, (ii) a time-based features Neuro-Fuzzy inference system, and (iii) a Neuro-Fuzzy inference fed by Discrete-Wavelet-Transform-based features. The analysis was performed across a wide dataset and exploited performance indexes aimed at assessing the accuracy and the reliability of predictions provided by the above-mentioned strategies. The results obtained demonstrate valuable performances of the three considered strategies in correctly distinguishing among stable and unstable postural status. However, the analysis of robustness against noisy data highlights better performance of Neuro-Fuzzy inference systems with respect to the threshold-based algorithm.

关键词： postural stability wearable devices accelerometer threshold algorithm Neuro-Fuzzy inference Discrete Wavelet Transform

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Row-level algorithm to improve real-time performance of glass tube defect detection in the production phase

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IET IMAGE PROCESSING 2020年第12期14卷 2911-2921页

作者： De Vitis, Gabriele A. Foglia, Pierfrancesco Prete, Cosimo A. Univ Pisa Dipartimento Ingn Informaz Via Diotisalvi 2 Pisa Italy

In the case of the glass tube for pharmaceutical applications, high-quality defect detection is made via inspection systems based on image processing. Such processing must be fast enough to guarantee real-time inspection and to meet the increasing rate and quality required by the market. Defect detection is complex due to specific problems of the production process: vibration, rotation and irregularity of the tube. All these aspects prevent the efficient use of known techniques. The authors present an algorithm that decreases the processing time of the defect detection phase. The algorithm is based on a moving average filter working at row level, that allows to minimize the effects of rotation, vibration, and irregularity of the tube. Luminosity variations due to the tube curvature are cut by the filter and a threshold algorithm can be applied. They made the evaluation considering different solutions taken from literature. The algorithm outperforms, in processing time, all these solutions with increased accuracy. Experimental measures show that the algorithm achieves a throughput gain of 2.6 times with respect to Canny. They develop also a methodology to get the best values for the algorithm parameters directly at the factory, during the change of production batches.

关键词： quality control production engineering computing automatic optical inspection pipes edge detection pharmaceuticals vibrations production batches row-level algorithm real-time performance glass tube defect detection production phase pharmaceutical applications high-quality defect detection inspection systems image processing real-time inspection production rate pharmaceutical market production process imperfect cylindrical shape detection techniques processing time defect detection phase glass tube inspection row level perfect tube circular shape threshold algorithm defect size detection

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Best Features Selection for the Implementation of a Postural Sway Classification Methodology on a Wearable Node

IEEE OPEN JOURNAL OF INSTRUMENTATION AND MEASUREMENT

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IEEE OPEN JOURNAL OF INSTRUMENTATION AND MEASUREMENT 2022年 1卷

作者： Ando, Bruno Baglio, Salvatore Marletta, Vincenzo Finocchiaro, Valeria Dibilio, Valeria Mostile, Giovanni Zappia, Mario Branciforte, Marco Curti, Salvatore Univ Catania Dept Elect Elect & Informat Engn DIEEI I-95124 Catania Italy Univ Catania Dept Med Surg Sci & Adv Technol GF Ingrassia I-95124 Catania Italy STMicroelectron Srl I-95121 Catania Italy

The possibility of identifying potential altered postural status in frail people, including patients with Parkinson Disease, represents an important clinical outcome in the management of frail elderly subjects, since this could lead to greater instability and, consequently, an increased risk of falling. Several solutions proposed in the literature for the monitoring of the postural behavior use infrastructure-dependent approaches or wearable devices, which do not allow to distinguish among different kinds of postural sways. In this article, a low-cost and effective wearable solution to classify four different classes of postural behaviors (Standing, Antero-Posterior, Medio-Lateral, and Unstable) is proposed. The solution exploits a sensor node, equipped by a triaxial accelerometer, and a dedicated algorithm implementing the classification task. Different quantities are proposed to assess performance of the proposed strategy, with particular regards to the system capability to correctly classify an unknown pattern, through the index Q%, and the reliability index, RI%. Results achieved across a wide dataset demonstrated the suitability of the methodology developed, with Q% =99.84% and around 70% of classifications, showing an RI% above 65%.

关键词： Assessment inertial sensor postural classification reliability sensor node threshold algorithm Assessment inertial sensor postural classification reliability sensor node threshold algorithm

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Optimized threshold algorithm of Envisat Waveform Retracking over Coastal Sea

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Chinese Journal of Geophysics 2013年第2期53卷 231-239页

作者： Jin-Yun GUO Yong-Gang GAO Xiao-Tao CHANG Cheinway HWANG College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao 266510 China Key Laboratory of Surveying and Mapping Technology on Island and Reef of SBSM Qingdao 266510 China College of Environment and Resources Fuzhou University Fuzhou 350108 China Chinese Academy of Surveying and Mapping Beijing 100039 China Department of Civil Engineering National Chiao Tung University Hsinchu 300 China

Waveform retracking is an effective method to improve the accuracy of sea surface height measurement with the satellite altimetric technique. The improved threshold retracking algorithm is optimized in the paper. Several waveform retracking algorithms such as the 5- β parametric fitting algorithm, off center of gravity, Ocean1 and threshold are also analyzed at the same time. Then a waveform retracking system is programmed. Several retracking methods are used to retrack the EnviSat waveform over the Mediterranean Sea. The optimized threshold retracking algorithm is the more robust retracking method and more suitable for the EnviSat waveform retracking over the coastal Med.

关键词： EnviSat Satellite altimetry Waveform retracking threshold algorithm

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An Adaptive Extracting Method for Motion-blurred Stars

An Adaptive Extracting Method for Motion-blurred Stars

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Chinese Automation Congress (CAC)

作者： Liu, Lin Bao, Qilian Zheng, Xunjiang Sun, Shuodong Shanghai Jiao Tong Univ Dept Instrument Sci & Engn Shanghai Peoples R China Shanghai Aerosp Control Technol Inst Shanghai Peoples R China

ISBN: (纸本)9781728140940

In this paper, a novel method for extracting difficult to determine a suitable global threshold, and a large motion-blurred stars in high dynamic imaging environment amount of noise causes the connected domain analysis to take affected by stray light is proposed. According to the characteristic of the background noise, an adaptive threshold estimation algorithm for each pixel with down sampling method and block weighted least squares fitting is presented. Furthermore, based on the scanning method and DBSCAN clustering, a new algorithm for extracting pixels of each star is also proposed. The experimental results indicate that the proposed method can improve the accuracy and real-time performance of star image processing even affected by inhomogeneous stray light under high dynamic conditions. The centroid error can be reduced to less than 1 pixel even if the star is motion-blurred to more than 30 pixels and the peak gray value is relatively low.

关键词： star sensor threshold algorithm star point extraction clustering algorithm

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Optimization and Technical Validation of the AIDE-MOI Fall Detection algorithm in a Real-Life Setting with Older Adults

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SENSORS 2019年第6期19卷 1357.-1357.页

作者： Scheurer, Simon Koch, Janina Kucera, Martin Bryn, Hakon Bartschi, Marcel Meerstetter, Tobias Nef, Tobias Urwyler, Prabitha Bern Univ Appl Sci Dept Engn & Informat Technol CH-3401 Burgdorf Switzerland Oxomed AG CH-3097 Liebefeld Switzerland Univ Bern Gerontechnol & Rehabil Grp CH-3008 Bern Switzerland Univ Bern ARTORG Ctr Biomed Engn Res CH-3008 Bern Switzerland Inselspital Bern Univ Neurorehabil Unit Dept Neurol Univ Hosp CH-3010 Bern Switzerland

Falls are the primary contributors of accidents in elderly people. An important factor of fall severity is the amount of time that people lie on the ground. To minimize consequences through a short reaction time, the motion sensor AIDE-MOI was developed. AIDE-MOI senses acceleration data and analyzes if an event is a fall. The threshold-based fall detection algorithm was developed using motion data of young subjects collected in a lab setup. The aim of this study was to improve and validate the existing fall detection algorithm. In the two-phase study, twenty subjects (age 86.25 +/- 6.66 years) with a high risk of fall (Morse > 65 points) were recruited to record motion data in real-time using the AIDE-MOI sensor. The data collected in the first phase (59 days) was used to optimize the existing algorithm. The optimized second-generation algorithm was evaluated in a second phase (66 days). The data collected in the two phases, which recorded 31 real falls, was split-up into one-minute chunks for labelling as fall or non-fall. The sensitivity and specificity of the threshold-based algorithm improved significantly from 27.3% to 80.0% and 99.9957% (0.43) to 99.9978% (0.17 false alarms per week and subject), respectively.

关键词： wearable fall detection healthcare sensors threshold algorithm

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Simultaneous Localization and Mapping of Mobile Robot Based on Image Enhancement 3

Simultaneous Localization and Mapping of Mobile Robot Based ...

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3rd International Conference on Robotics and Automation Engineering (ICRAE)

作者： Zhang, Xin Zhang, Yu Su, Xiaoming Liu, Zhi Shenyang Univ Technol Sch Mech Engn Shenyang Liaoning Peoples R China Shenyang Aerosp Xinle Co LTD Shenyang Liaoning Peoples R China

ISBN: (纸本)9781538695944

For the camera optical system aberration, scene image observed by the robot will be disturbed by noise such as illumination, motion, and other noise interference, which will bring visual positioning error, lead to wrong expression of topological structure for the environment, and affect the robustness of Simultaneous Localization and Mapping (SLAM). How to control the accumulation effectively and enhance the effectiveness, robustness and real-time of visual SLAM is a challenging research topic. The fuzzy image set is constructed according to the blurred image. This paper proposed a processing techniques of fuzzy image based on image enhancement. (1) The threshold algorithm is employed to improve the histogram equalization algorithm in image enhancement field. (2) The fuzzy set of illumination is constructed offline and the gray scale histogram of the original image is stretched in nonlinear to increase the dynamic range of the gray value of the pixel. (3) The illumination fuzzy set is integrated into the SLAM, and then the visual odometry, closed-loop detection module of SLAM are tested on the basis of the quantitative experiment in the actual scene. The experimental results show that the proposed algorithm is robust to SLAM and have good real - time performance.

关键词： Simultaneous Localization and Mapping (SLAM) image enhancement histogram equalization algorithm threshold algorithm mobile robot

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Hiding Data in Videos using Optimal Selection of Key-Frames 2

Hiding Data in Videos using Optimal Selection of Key-Frames

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2nd International Conference on Computer, Communication, and Signal Processing (ICCCSP) - Special Focus on Technology and Innovation for Smart Environment

作者： RoselinKiruba, R. Sharmila, T. Sree SSN Coll Engn Dept Informat Technol Madras Tamil Nadu India

ISBN: (纸本)9781538611418

Video steganography is the technique where the users keep their data secret, which also embeds and extracts the data. It has lots of information stored in each and every frame. Moreover, the particular key-frames in each video are extracted using the average threshold algorithm. The data is hidden inside the least bit of the selected key frames. The presence of message in video will not be visible by attackers since it is available only for a fraction of time. Using this methodology, the performance of video steganography has been increased effectively.

关键词： video steganography threshold algorithm key frames

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A Unified Processing Paradigm for Interactive Location-based Web Search 18

A Unified Processing Paradigm for Interactive Location-based...

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11th ACM International Conference on Web Search and Data Mining

作者： Wang, Sheng Bao, Zhifeng Huang, Shixun Zhang, Rui RMIT Univ Melbourne Vic Australia Univ Melbourne Melbourne Vic Australia

ISBN: (纸本)9781450355810

This paper studies the location-based web search and aims to build a unified processing paradigm for two purposes: (1) efficiently support each of the various types of location-based queries (kNN query, top-k spatial-textual query, etc.) on two major forms of geo-tagged data, i.e., spatial point data such as geo-tagged web documents, and spatial trajectory data such as a sequence of geo-tagged travel blogs by a user;(2) support interactive search to provide quick response for a query session, within which a user usually keeps refining her query by either issuing different query types or specifying different constraints (e.g., adding a keyword and/or location, changing the choice of k, etc.) until she finds the desired results. To achieve this goal, we first propose a general Top-k query called Monotone Aggregate Spatial Keyword query-MASK, which is able to cover most types of location-based web search. Next, we develop a unified indexing (called Textual-Grid-Point Inverted Index) and query processing paradigm (called ETAIL algorithm) to answer a single MASK query efficiently. Furthermore, we extend ETAIL to provide interactive search for multiple queries within one query session, by exploiting the commonality of textual and/or spatial dimension among queries. Last, extensive experiments on four real datasets verify the robustness and efficiency of our approach.

关键词： inverted index threshold algorithm spatial keyword search

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An Improved threshold Method based on Histogram Entropy for the Blood Vessel Segmentation

An Improved Threshold Method based on Histogram Entropy for ...

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IEEE International Conference on Cyborg and Bionic Systems (CBS)

作者： Guo, Shuxiang Yang, Qiuxia Gao, Baofeng Cai, Xiaojuan Zhao, Yan Xiao, Nan He, Yanlin Zhang, Chaonan Beijing Inst Technol Sch Life Sci Minist Ind & Informat Technol Key Lab Convergence Biomed Engn Syst & Healthcare 5 Zhongguancun South St Beijing 100081 Peoples R China Kagawa Univ Fac Engn 2217-20 Hayashi Cho Takamatsu Kagawa 7608521 Japan

ISBN: (纸本)9781538631942

Interest is growing in the interventional surgery training system used before the treatment of vessel diseases. As one of the elementary component of the simulator, an accurate reconstruction of blood vessel obtaining from cross-sectional images is ugly needed. Digital Subtraction Angiography (DSA) data is used as a criterion for reconstruction result of blood vessel. In this paper, an improved threshold method is proposed to segment blood vessel from medical images. Firstly, with optimization characteristic, the genetic algorithm is used to determine the pre-segmentation greyscale from best histogram entropy. Secondly, we enlarge greyscale around the best greyscale to adjust image intensity value which can greatly singularize the region of interest. And then, classical threshold method (Otsu algorithm) is used to determine the best threshold value which can separate blood vessel from background. To test the improved method, comparative trial was set to testify the improvement. Finally, a series of DSA images were obtained to demonstrate this method and the final experimental results showed the effectiveness of the improved method.

关键词： threshold algorithm Best Histogram Entropy Genetic algorithm Image Intensity Blood Vessel Segmentation

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