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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6865 条记录，以下是231-240 订阅

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An IoT-based Self-Reliable Wheelchair for Enhanced Mobility and Health Monitoring 2

An IoT-based Self-Reliable Wheelchair for Enhanced Mobility ...

引用

2nd International conference on Intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Samarasam, Brindha Nallasivam, Manikanda Prabu Kulandasamy, Gayathri Devi Manivel, Murugesan Karuppannan, Anand Duraisamy, Charmila Nandha Engn Coll Elect & Commun Engn Erode India Sri Krishna Coll Technol Elect & Commun Engn Coimbatore Tamil Nadu India Karpagam Inst Technol Elect & Elect Engn Coimbatore Tamil Nadu India Gnanamani Coll Technol Elect & Commun Engn Namakkal India Nandha Coll Technol Elect & Commun Engn Erode India

ISBN: (纸本)9798331540661;9798331540678

This research introduces an innovative approach to enhance the mobility and independence of individuals with limited mobility by developing an IoT-based, self-reliable wheelchair capable of climbing stairs. The wheelchair utilizes Atmega328 microcontroller as its central processing unit, incorporating an accelerometer to detect hand movements for intuitive control of forward, backward, left, and right motions. The unique triangular wheel arrangement on either side of the wheelchair enables it to navigate staircases effectively. Powering the wheelchair is a rechargeable battery, with a regulator ensuring a stable power supply to the boards and sensors. The H-bridge motor driver controls the wheelchair's motors, facilitating smooth and precise movements. In addition to its advanced mobility features, the wheelchair is equipped with health monitoring capabilities. A heartbeat and temperature sensor are integrated to continuously monitor the user's health condition. In the event of deteriorating health, an alarm is triggered, and a corresponding message is displayed on the LCD display. This real-time health monitoring system adds an extra layer of safety, ensuring timely intervention in case of emergency. This IoT-based wheelchair represents a significant advancement in assistive technology, providing not only enhanced mobility for navigating challenging terrains but also incorporating health monitoring features to ensure the well-being of the user. The integration of Atmega328 microcontroller, sensors, and motor control technologies showcases an intelligent approach to empower individuals with limited mobility.

关键词： Atmega328 microcontroller IoT accelerometer triangular wheel arrangement H-bridge motor driver health monitoring heartbeat sensor temperature sensor

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Missing Persons Comprehensive Tracking system with Secure Login-Based interface for Displaying Missing People Data, Found Person Details 2

Missing Persons Comprehensive Tracking System with Secure Lo...

引用

2nd IEEE International conference on Advances in Information Technology, ICAIT 2024

作者： Mathumithaa, V.P. Brindha, D. Aishwarya, B. Jerusha, S. Karunya Institute of Technology and Sciences Coimbatore India Karunya Institute of Technology and Sciences India

ISBN: (纸本)9798350383867

The Missing Persons Comprehensive Tracking system (MPCTS) is an innovative platform designed to assist law enforcement agencies and organizations in efficiently locating missing individuals. Leveraging cutting-edge technology, including facial recognition, deep learning, and geofencing, MPCTS enhances the accuracy and speed of the search process. At its core, MPCTS utilizes a centralized database as a repository for user and administrator data. Users can configure their personal information, notification preferences, and report missing persons or incidents. Administrators have full control over data management and system operations. Key features include incident-triggered notifications, multi-camera feed detection, and advanced analytical processes like facial pattern recognition and Haar- Cascades object detection. Parallel computing ensures efficient data processing. GeoFenced LEF notifications monitor geographicsal boundaries for crossings, while disappearance-discovery analytics identify unexpected events or disappearances. MPCTS is a significant advancement in missing persons tracking, offering an user-friendly interface and powerful analytical capabilities. It serves as an invaluable tool for law enforcement agencies dedicated to reuniting missing individuals with their families and communities, significantly improving the efficiency of the search process. © 2024 IEEE.

关键词： Information management

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Handling Vision Noise Through Robot Motion control in a Real-Time Teleoperation system 30

Handling Vision Noise Through Robot Motion Control in a Real...

引用

30th Mediterranean conference on control and Automation (MED)

作者： Tsitos, Athanasios C. Dagioglou, Maria Natl Ctr Sci Res Demokritos Aghia Paraskevi Greece Univ Piraeus Piraeus Greece

ISBN: (纸本)9781665406734

Teleoperation allows robots to perform complex actions in tasks and environments where robot cognition and motion capabilities cannot support autonomy or where cooperation with humans is necessary. In this work, we present a teleoperation system for controlling the motion of a non-anthropomorphic robot arm through a natural user interface that tracks human movements through a single RGB-D visual sensor. A proportional-derivative (PD) controller is formulated to regulate robot end-effector commanded accelerations and to deal with the noisy and low-frequency human information. The system is integrated in the robot operating system (ROS) and a Universal Robots UR3 cobot is used for the evaluation. The results show that the PD controller achieves a superior performance in terms of both tracking accuracy and robot motion smoothness compared to using a proportional controller which regulates the commanded velocities. Furthermore, the same gains of the PD controller can be used to handle a wider range of human speeds. Finally, we provide real-time demonstrations of the system and the ROS pipeline.

关键词： Telerobotics and Teleoperation Motion control sensor-based control Real-time control

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Development and In-field Application of a system for Indoor Environmental Quality Monitoring and Occupants' Feedback Collection 9th

Development and In-field Application of a System for Indoor ...

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9th International Building Physics conference

作者： Fissore, Virginia Isabella Barbaro, Alberto Chiavassa, Pietro Ramirez Espinosa, Gustavo Adolfo Giusto, Edoardo Puglisi, Giuseppina Emma Raviola, Erica Shtrepi, Louena Servetti, Antonio Montrucchio, Bartolomeo Fiori, Franco Astolfi, Arianna Politecn Torino Dept Energy Turin Italy Politecn Torino Dept Elect & Telecommun Turin Italy Politecn Torino Dept Control & Comp Engn Turin Italy Pontificia Univ Javeriana Dept Elect Bogota Colombia Univ Napoli Federico II Dept Elect Engn & Informat Technol Naples Italy Politecn Torino Campus Management Logist & Sustainabil Dept Campus Management Turin Italy

ISBN: (纸本)9789819783199;9789819783175;9789819783168

Indoor Environmental Quality (IEQ) affects occupants' health, wellbeing and comfort, making its assessment increasingly required. This work presents a system designed to collect subjective and objective data on IEQ, referred to as PROMET&O (PROactive Monitoring for indoor EnvironmenTal quality & cOmfort). It is built on a survey and a low-cost and accurate multi-sensor device. The former was developed to collect feedback on occupants' comfort perception and personal and behavioural information. The latter was developed to monitor the thermal, lighting, acoustic and air quality conditions in indoor environments. The monitored parameters (air temperature, relative humidity, carbon dioxide, carbon monoxide, nitrogen dioxide, particulate matter, volatile organic compounds, formaldehyde, illuminance and sound pressure level) were selected based on international standards. A three-step calibration of the device is applied to ensure the measurements' reliability. The monitored data is transferred and processed on an open-source platform and the thermal comfort, visual comfort, acoustic comfort, indoor air quality and IEQ indexes are calculated and displayed on a user-friendly interface. This interface was designed to inform both building managers and occupants on IEQ trends and to provide them with more information on monitored parameters and hints on actions to improve their comfort. Preliminary tests in laboratory and in-field have shown the validity and scalability of the system's design.

关键词： Indoor Environmental Quality Overall Comfort Multi-sensor Device

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Human Motion Capture Based on MEMS sensor 2

Human Motion Capture Based on MEMS Sensor

引用

2nd International conference on Robotics, Automation and Intelligent control, ICRAIC 2022

作者： Dong, Zhuangzhuang Cheng, Guangxin Lou, Qixin Li, Ding Gao, Na Xu, Yunong Yu, Xudong College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha Hunan China Highland Optoelectronic Technology Development Co. Ltd Changsha Hunan China

In order to realize the monitoring of human joint rehabilitation, a human motion capture and recognition system is constructed by using micro electro mechanical system (MEMS) sensor nodes. A two-stage extended Kalman filter algorithm is proposed for multi-sensor data fusion. The error matrix between the coordinate system of sensor node and the coordinate system of body was calculated by using the stationary posture calibration. The root mean squared error (RMSE) of the computed joint angle time series is less than 0.5°. The feature of joint angle time series was extracted and the support vector machine (SVM) classification model based on particle swarm optimization (PSO) was established. The experimental results show that the SVM algorithm optimized by PSO has better recognition effect than BP neural network. The average recognition rate can reach more than 97%. The human motion capture system designed in this paper can effectively realize human motion capture, recognition and joint rehabilitation monitoring. © Published under licence by IOP Publishing Ltd.

关键词： Time series

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Design and Signal Quality Assessment of a Novel Low-Cost Wireless EMG sensor 14

Design and Signal Quality Assessment of a Novel Low-Cost Wir...

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14th IEEE International conference on Cyber Technology in Automation, control, and Intelligent systems, CYBER 2024

作者： Ling, Ziqin Chen, Jiangcheng Li, Yaonan Xi, Ning University of Hong Kong Department of Industrial and Manufacturing Systems Engineering Hong Kong Shenzhen Academy of Robotics Shenzhen China

ISBN: (纸本)9798331506056

Electromyography (EMG) sensors have been widely used for assessing muscle activation state and human-robot interaction (HRI). However, available commercial EMG sensors are expensive and inconvenient for real-time applications. The aim of this study is to design and validate a novel low-cost wireless EMG sensor. Specifically, the wireless EMG sensor is equipped with an analog-front-end (AFE), radio frequency (RF) module, and controller area network (CAN) bus, which achieves wireless data transmission and provides an interface for real-time HRI. The evaluation of the designed system was done by a series of exercises performed by volunteers. Raw signal., mean absolute value (MAV), zero crossings (ZC), slope sign changes (SSC), waveform length (WL), and median frequency (MDF) are used for comparing wireless EMG sensors and commercial sensors. In addition, Spearman's correlation (SC), and intra-class cross-correlation (ICC) are used as two validation indicators. The result shows that the SC and ICC between the raw signals of the two types of sensors are 0.6156 and 0.7780, respectively. The SC of MAV, ZC, SSC, WL, and MDF are 0.9708, 0.6740, 0.8023, 0.9663, and 0.9476, respectively. The ICC of MAV, ZC, SSC, WL, and MDF are 0.9670, 0.7340, 0.7910, 0.9540., and 0.8230, respectively. The results indicate a good agreement between the two systems and confirm the reliability of the wireless EMG sensor's design. The wireless EMG sensor can be further applied to real-time HRI and muscle fatigue assessment. © 2024 IEEE.

关键词： Human robot interaction

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Implementation and Analysis of Compressed Sensing Technology for Wireless sensor 6

Implementation and Analysis of Compressed Sensing Technology...

引用

6th IEEE advanced Information Technology, Electronic and Automation control conference (IEEE IAEAC)

作者： Qian, Liming Zha, Meng Guo, Feng Nantong Inst Technol Sch Mech Engn Nantong Jiangsu Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

In view of the characteristics of energy consumption in wireless sensor network nodes in the process of mechanical vibration detection, compression sensing technology (CS) was introduced. The system completed the sparse representation of the signal and the design of the orthogonal measurement matrix in the DSP of the terminal nodes. After wireless transmission of the measurement data to the coordinator node, with the help of CCSLink platform, it realized the reconstruction of the signal in the MATLAB environment. It was found that the sparse signal after DCT transformation had better sparsity, and the signal reconstructed by OMP algorithm had higher reconstruction accuracy. The introduction of compressed sensing technology not only reduced the data transmission capacity of wireless nodes, reduced the power consumption of data transmission, and also extended the life of nodes, which proved the feasibility of compressed sensing technology in the field of mechanical vibration monitoring.

关键词： Compressed Sensing Wireless sensor DCS OMP

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SAFERent: Design of a Driver Training Application for Adaptive Cruise control (ACC) 5th

SAFERent: Design of a Driver Training Application for Adapti...

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5th International conference on HCI in Mobility, Transport and Automotive systems (MobiTAS) Held as Part of the 25th International conference on Human-Computer Interaction (HCII)

作者： Mersinger, Molly Patel, Shivani Korentsides, Jenna Choy, Elaine Woods, Stephen Chaparro, Barbara Chaparro, Alex Embry Riddle Aeronaut Univ Daytona Beach FL 32114 USA

ISBN: (纸本)9783031356773;9783031356780

Research shows that drivers rarely consult the vehicle owner's manual to learn to operate advanced safety features, like Adaptive Cruise control (ACC). Students from a United States university participated in a national competition, called EcoCAR Mobility Challenge (sponsored by the Department of Energy), to develop an engaging solution that is efficient and effective in educating drivers about the operation of ACC while adhering to user-centered design methodology. Students used an iterative design process and collected quantitative and qualitative data to evaluate the strengths and weaknesses of a mobile application. Iterations of the prototype included an interactive guide, video components, remote connection to the vehicle, and ultimately a solution that could reside on the vehicle's infotainment system. This paper details the process and evaluation outcomes and serves as a model for user-centered design of tutorials for advanced Driver Assistance systems (ADAS).

关键词： Adaptive Cruise control Driver interface Usability Testing Iterative Design HCI design and evaluation

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The New Generation of Q-Level+: advanced Steel Level Combined With Flux Level control

The New Generation of Q-Level+: Advanced Steel Level Combine...

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AISTech 2022 Iron and Steel Technology conference and Exposition

作者： Fornasier, Marcellino Orsettig, Luigi Donati, Gabriele Pezzutto, Cristiano Stepanek, Martin Buttrio33042 Italy Buttrio33042 Italy VÚHŽ a.s. Dobrá 240 739 51 Czech Republic

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Enhanced Human-Robot Teaming Through Attention Multi Convolutional Neural Network-Based Multi-Modal sensor Fusion for Hand Gesture Recognition and Orientation control 58

Enhanced Human-Robot Teaming Through Attention Multi Convolu...

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58th Hawaii International conference on system Sciences, HICSS 2025

作者： Gonsholt, Alf Stian Sundo Greca, Eivind Enea Haddad, Mustapha Zafar, Muhammad Hamza Sanfilippo, Filippo University of Agder Grimstad Norway

ISBN: (纸本)9780998133188

Our study aims at enhancing Human-Robot Interaction, Collaboration, and Teaming (HRI/C/T) in industrial automation by developing a novel framework for real-time gesture control of a robotic hand. We use an Inertial Measurement Unit (IMU) sensor for precise orientation control of the end effector, and surface Electromyography (sEMG) sensors to detect muscle movements. The sEMG signals are processed by an Attention-based Multi Convolutional Neural Network (A-MCNN) for accurate gesture detection, enabling the robotic hand to mimic these gestures in real-time. Our method achieves notable results for gesture recognition, with the A-MCNN model attaining an accuracy of 97.89%, a precision of 97.49%, a recall of 97.71%, and an F1 score of 97.65%. This integration of IMU and sEMG technologies with advanced neural networks creates a responsive and intuitive control mechanism, improving safety, usability, and interaction of collaborative robots in shared workspaces. Our approach aims to transition towards Human-Robot Teaming (HRT), significantly advancing the seamless and safe integration of robots in industrial environments, enhancing productivity and collaboration. © 2025 IEEE Computer Society. All rights reserved.

关键词： Collaborative robots

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