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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications"

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Improving Human Activity Recognition Through Multisensor Data Fusion Techniques in Wireless sensor Networks 3

Improving Human Activity Recognition Through Multisensor Dat...

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3rd International conference on Computing and Machine Intelligence (ICMI)

作者： Gargees, Rasha S. Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA

ISBN: (纸本)9798350372977;9798350372984

Wireless sensor Networks (WSNs) have revolutionized data collection, especially in Human Activity Recognition (HAR). Multisensor datasets are crucial for a comprehensive understanding of human behavior, enabling more advanced classification techniques. This study explores the essential role of machine learning in categorizing activities, especially given the abundance of available multi-sensor data from WSN. The research utilizes information fusion as a pivotal mechanism to boost the accuracy of activity classifications. Employing Support Vector Machine (SVM) and Decision Tree (DT) algorithms, the project utilizes advanced data fusion techniques, specifically Kalman Filter (KF) and Covariance Intersection (CI), to optimize information extraction from the provided data. The study encompasses six experiments, including applying SVM and DT on raw data, SVM and DT on data fused by CI, and SVM and DT on data fused by KF. The results of these experiments reveal a significant improvement in the accuracy of SVM and DT classification when incorporating CI and KF. This emphasizes the effectiveness of information fusion techniques in refining the outcomes of human activity recognition systems, showcasing their vital role in enhancing the reliability and precision of activity classifications. This research not only contributes to the field of HAR but also establishes a foundation for further advancements in real-world applications where precise activity classification holds utmost importance.

关键词： Wireless sensor network(WSN) human activity recognition (HAR) multi-sensor datasets data fusion machine learning classification Covariance Intersection (CI) Kalman Filter (KF)

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Spectro-Temporal Recurrent Neural Network for Robotic Slip Detection with Piezoelectric Tactile sensor

Spectro-Temporal Recurrent Neural Network for Robotic Slip D...

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IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)

作者： Ayral, Theo Aloui, Saifeddine Grossard, Mathieu CEA Leti F-38000 Grenoble France Univ Paris Saclay CEA List F-91120 Palaiseau France

ISBN: (纸本)9781665476331

In this paper, we present a novel tactile-based method for detecting slippage in robotic manipulation, using a single piezoelectric sensor. The method combines spectral analysis (FFT) and deep learning (GRU) for improved efficiency and adaptability. We implement an automated data-collection process with accurate and unbiased labels of slip events. The proposed method is evaluated through an ablation study characterizing the influence of model hyperparameters and interaction settings. The results show a high classification accuracy of 98.70% at 100Hz and detection delays of 8.5 +/- 23.7ms, demonstrating the relevance of our spectro-temporal pipeline. The proposed method has the potential to enhance the performance of robotic systems and increase their reliability in robotic grasping applications.

关键词： Piezoelectricity

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A TACTILE sensor ARRAY WITH A MONOLITHICALLY INTEGRATED NEURAL NETWORK FOR EDGE COMPUTATION 36

A TACTILE SENSOR ARRAY WITH A MONOLITHICALLY INTEGRATED NEUR...

引用

36th IEEE International conference on Micro Electro Mechanical systems (MEMS)

作者： Lei, Tengteng Hu, Yushen Wong, Man Hong Kong Univ Sci & Technol Hong Kong Peoples R China

ISBN: (纸本)9781665493086

Described presently is a monolithically integrated "intelligent" sensor system consisting of a piezoelectric tactile sensor array and an artificial neural network (ANN). Low-temperature processed, dual-gate thin-film transistors (TFTs) based on semiconducting indium-tin-zinc oxide are deployed in the former for signal acquisition and in the latter for executing the "multiply-accumulate" operation. With the ANN appropriately trained, the system is capable of both "imaging" and "recognizing" a distributed force load applied on the sensor array using 3D-printed stamps. The proposed integration scheme can be deployed to construct intelligent sensor systems for applications other than tactile sensing.

关键词： Tactile sensor array artificial neural network edge computation dual-gate metal-oxide thin-film transistors

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Arduino-Powered Sonar Radar MOKSH: Design, Implementation, and applications 1

Arduino-Powered Sonar Radar MOKSH: Design, Implementation, a...

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1st International conference on advanced Computing and Emerging Technologies, ACET 2024

作者： Seejal, Seejal Kumar, Harish Taluja, Anuradha Gandotra, Ekta Gupta, P.K. Computer Science and Engineering Jaypee University of Information Technology Himachal India Computer Science and Engineering Sdgi University Ghaziabad India Computer Science and Engineering Aktu Lucknow Ghaziabad India Computer Science and Engineering Jaypee University of Information Technology India Computer Science and Engineering Mohan Babu University Tirupati India

ISBN: (纸本)9798350367720

The Arduino-controlled radar systems constituting the fundamental elements of this RADAR system, an ultrasonic sensor and servo motor are employed. The fundamental operation of the system is to detect objects within the range specified. Attached to the servo motor is an ultrasonic sensor that rotates approximately 180 degrees and provides a graphical representation on the processing IDE software. In addition to providing a graphical representation, the Processing IDE also provides the object's angle, position, and distance. The administration of this system is facilitated by Arduino. The Arduino UNO board is adequate for both interface development and ultrasonic sensor and display device control. We learned about extant navigation and obstacle detection innovations as well as various systems that make efficient use of ultrasonic sensors through our research. This RADAR system is primarily utilized in the fields of object identification, mapping, surveillance, and monitoring, in addition to navigation and positioning. Additionally, these low-cost systems are appropriate for implementation indoors. © 2024 IEEE.

关键词： Ultrasonic sensors

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System Architecture for a Wireless sensor Network for Sustainable Agriculture, Forestry and Green Spaces in Smart Cities 12

System Architecture for a Wireless Sensor Network for Sustai...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Rosewick, Sebastian Schorlemer, Felix Kunemund, Frank Fachhochschule Dortmund Department of Computer Science Germany

ISBN: (纸本)9798350358056

This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sensor networks struggle with a lack in flexibility, little variation in their reading points and no possibilities in mobile manipulation, this approach offers new capabilities in accomplishing complex tasks in outdoor and indoor scenarios. A wheel driven robot platform in combination with multiple UAVs11Unmanned Aerial Vehicle forms the basis for the mobile sensor network which can make use of a wide variety of sensors and actuators. The system benefits from new developments in controlling multi-agent systems as well as machine-learning-algorithms for local and independent data-analysis. © 2023 IEEE.

关键词： forestry machine learning mesh-networks mobile robots multi-agent systems neural networks precision agriculture UAVs wireless sensor network

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Putting the S back into IoT: Tutorial on sensor and Actor systems in Small Portable Ad-Hoc Networks 18

Putting the S back into IoT: Tutorial on Sensor and Actor Sy...

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18th ACM International conference on Distributed and Event-Based systems, DEBS 2024

作者： Norbisrath, Ulrich Machado, Renato Perotto Slavin, Anton Zorec, Matevz Borjan University of Tartu Tartu Estonia

ISBN: (纸本)9798400704437

This tutorial introduces participants to the fundamentals and advanced concepts of integrating sensor and actor systems within the Internet of Things (IoT) through hands-on experience with small, portable ad-hoc networks. We will learn to create and manage our own IoT networks by utilizing several ESP32 and ESP8266-based devices connected to various actors and sensors alongside easily configurable IoT edge network set-ups. We will orchestrate the systems using Node-RED for data flow and event-based integration. Simple dashboard and database connectivity options in Node-RED will help us build IoT applications and workflows without the complexity of traditional programming environments. © 2024 ACM.

关键词： Internet of things

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ROS Powered Autonomous Mobile Robot for Indoor applications

ROS Powered Autonomous Mobile Robot for Indoor Applications

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2024 International conference on Intelligent Algorithms for Computational Intelligence systems, IACIS 2024

作者： Madan, H.T. Mahesh, L. Sajjad, Mohammed Nitte India Reva University School of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798350360660

In the realm of indoor robotics, navigation poses a critical challenge across service robots, humanoids, and warehouse automation. Existing techniques like line following, RFID tracking, and Aruco marker-based systems exhibit limitations in autonomy and adaptability. This has created a need for the development of an advanced and sophisticated autonomous navigation system that encompasses self-reliant perception, planning, and control capabilities. The proposed system makes use of LiDAR technology for mapping and Robot operating system for planning and control which takes place on Jetson Nano GPU platform, providing real-time processing power for environmental data. LiDAR sensors offer accurate environmental perception, obstacle detection, and adaptability to dynamic indoor settings. The system employs BLDC wheels and an aluminium base for versatility, supporting loads up to 120 kg. Additionally, it incorporates an IMU sensor with EKF sensor fusion for accurately estimating the robot's position. This flexible design has applications in various indoor robotics scenarios, ranging from complex service tasks to efficient warehouse operations. This versatile design finds applications in various indoor robotics scenarios, from complex service tasks to efficient warehouse operations. © 2024 IEEE.

关键词： Robot programming

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Existing Devices in Wrist Rehabilitation Robotics: Mechanical Design, Control systems, and User Requirements for Commercialization 20

Existing Devices in Wrist Rehabilitation Robotics: Mechanica...

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20th IEEE/ASME International conference on Mechatronic and Embedded systems and applications (MESA)

作者： Pippo, Irene Massone, Valentina Guazzotti, Marco Gnetti, Benedetta Albanese, Giulia A. Casadio, Maura Berselli, Giovanni Zenzeri, Jacopo ReWing Srl Milan Italy Univ Genoa DIME Genoa Italy Univ Genoa DIBRIS Genoa Italy Fdn Don C Gnocchi La Spezia La Spezia Italy

ISBN: (纸本)9798331516246;9798331516239

Recently, rehabilitation robotics has demonstrated the ability to improve the methodologies significantly. Robotic devices can provide accuracy, repeatability, high-dose and task-specific training, and real-time feedback. These features are essential in rehabilitation, focusing on the upper limb and the wrist, as a joint needed to perform most activities of daily living (ADLs) and thus crucial to maintaining a high quality of life. This is particularly important considering the demand for effective rehabilitation solutions due to frequent motor impairments related to neurological or orthopedic issues. This review focuses on robotic devices for wrist rehabilitation, exploring their characteristics with an eye toward significant and appealing features for commercialization. We explored relevant features of these devices such as a robust and human-centered mechanical design, an appropriate actuation system, and an advanced sensor network integrated with a sophisticated control architecture to monitor and optimize human-machine interactions. We considered usability factors as ergonomics, ease of use, and adaptability to the needs of different users, for clinical applications and broad market adoption. This work reviews existing robotic devices for wrist rehabilitation, comparing their key features to evaluate the current state of the field. It aims to identify which devices best meet the necessary criteria and highlight issues that still require further engineering research.

关键词： robotic device upper limb rehabilitation wrist mechatronic design

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A Modular sensor Fusion and Quality-Driven sensor Selection Algorithm for UAV Navigation 20th

A Modular Sensor Fusion and Quality-Driven Sensor Selection ...

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20th International conference on Intelligent Computing (ICIC)

作者： Chen, Hainuo Ni, Xuebin Gao, Ming Ma, Hui Zhang, Chen Yunsheng Intelligent Technol Co Ltd Tianjin 300457 Peoples R China Tianjin Univ Sci & Technol Tianjin 300457 Peoples R China

ISBN: (纸本)9789819755936;9789819755943

Unmanned Aerial Vehicles (UAVs) are increasingly integrated in various applications. The urgent need for accurate navigation algorithms is emphasized in various applications. In this paper, we propose an integrated framework focusing on robust attitude and position/velocity estimation for UAV navigation using Kalman filtering employing Kalman filtering (KF) technique and chi-square test based sensor fusion quality assessment. Our approach integrates sensor data through a filter-based approach, and Kalman filter handles attitude estimation and position/velocity estimation. The modal architecture enhances robustness and facilitates seamless integration of multiple sensors while prioritizing reduced attitude estimation and position/velocity estimation. Accurate attitude estimation is also prioritized to reduce the risk in case of deviation. Accurate attitude estimation is also prioritized to reduce the risk of deviation in case of higher order state estimators. Experimental validation on the "SHENG PROUAV" model proves the effectiveness of our framework and demonstrates accurate attitude estimation results.

关键词： Integrated Navigation systems Modular sensor Fusion Kalman Filters Fault Detection

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Design, Fabrication and Calibration of an Embroidery Textile Tactile sensor Array 25th

Design, Fabrication and Calibration of an Embroidery Text...

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25th Annual conference on Towards Autonomous Robotic systems, TAROS 2024

作者： Hou, Ningzhe Pontin, Marco Costi, Leone Maiolino, Perla Oxford Robotics Institute University of Oxford Oxford United Kingdom University of Genoa Liguria Genoa Italy

ISBN: (纸本)9783031720581

This paper presents the development and evaluation of an embroidery textile tactile sensor, designed for advanced pressure mapping applications. Utilizing a unique embroidery technique with conductive threads and incorporating a Velostat piezoresistive layer, the sensor array is configured in an 8×8 grid, offering multiple contact detection over large areas. The sensor’s performance is validated through several experiments, including quasi-static loading and pressure mapping with various weights and hand gestures. This research proposes a flexible, scalable solution for tactile sensing that is both cost-effective and high-performing. The findings indicate significant potential for the sensor in real-world applications, promising advancements in how tactile information is captured and utilized. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mapping

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