Electromyography (EMG) signals are fundamental in neurorehabilitation as they provide a non-invasive means of capturing the electrical activity of muscles, enabling precise detection of motor intentions. This capabili...
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Electromyography (EMG) signals are fundamental in neurorehabilitation as they provide a non-invasive means of capturing the electrical activity of muscles, enabling precise detection of motor intentions. This capability is essential for controlling assistive devices, such as therapeutic exoskeletons, that aim to restore mobility and improve motor function in patients with neuromuscular impairments. The integration of EMG into neurorehabilitation systems allows for adaptive and patient-specific interventions, addressing the variability in motor recovery needs. However, achieving the high fidelity, low latency, and robustness required for real-time control of these devices remains a significant challenge. This paper introduces a novel multi-channel electromyography (EMG) acquisition system implemented on a system-on-Chip (SoC) architecture for robotic neurorehabilitation. The system employs the Zynq-7000 SoC, which integrates an advanced RISC Machine (ARM) processor, for high-level control and an FPGA for real-time signal processing. The architecture enables precise synchronization of up to eight EMG channels, leveraging high-speed analog-to-digital conversion and advanced filtering techniques implemented directly at the measurement site. By performing filtering and initial signal processing locally, prior to transmission to other subsystems, the system minimizes noise both through optimized processing and by reducing the distance to the muscle, thereby significantly enhancing the signal-to-noise ratio (SNR). A dedicated communication interface ensures low-latency data transfer to external controllers, crucial for adaptive control loops in exoskeletal applications. Experimental results validate the system's capability to deliver high signal fidelity and low processing delays, outperforming commercial alternatives in terms of flexibility and scalability. This implementation provides a robust foundation for real-time bio-signal processing, advancing the integration of E
Hand-free control of assistive mobility devices has been developed for severe physical movement disabilities. This paper proposes a human-machine interface ( HMI) using piezoelectric sensors to translate face movement...
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ISBN:
(数字)9786165904773
ISBN:
(纸本)9786165904773
Hand-free control of assistive mobility devices has been developed for severe physical movement disabilities. This paper proposes a human-machine interface ( HMI) using piezoelectric sensors to translate face movements for wheelchair control commands. Piezoelectric ceramic buzzer and thin film piezoelectric sensors were observed for facial muscle signal acquisition. We used time and frequency analysis to extract features of the signals during winking and tongue movements for simple classification. We also verified the proposed HMI for control commands of wheelchair steering. Using ceramic buzzer piezoelectric sensors with maximum peak and frequency mean features achieved more than 95% of the average classification accuracy. The proposed system can be used in a powered wheelchair for quadriplegic patients. We will further implement and verify in real-time control.
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Perfo...
ISBN:
(纸本)9783031829598
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance;adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation;using of a Robotic Platform to Detect Acoustic Events for Indoor Environments;modeling Wildlife Accident Risk with Gaussian Mixture Models;towards a Unified Incident Detection and Response system for Autonomous Transportation;edge-Processing of Myoelectric Signals for the control of Hand and Arm-Prostheses;AI-Driven Gesture and Action Recognition for Learning Medicine Through Virtual Reality;Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices;a Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints;motion Tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications;advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation;Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM;machine Learning Based Parameter Estimation of Energy Models in Digital Production Environments;efficient Classification of Live sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods;machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding;quantitative Trend Analysis of Reinforcement Learning Algorithms in Production systems;Using AutomationML for advanced Simulation in Industrial Automation;AR Digital Twin Demonstrator for Industrial Robotics Education;Accelerating Manual Pick-and-Place Operations with AR-Projected CAD Plans and AI-Assisted Object Recognition;variety Engineering – A Cybernetic Concept with Practical Implications;using a system Archetype to Explore a Business Model for Digital Textile Microfactories;interacting with the Water Cycle -
The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopte...
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ISBN:
(纸本)9798350300888
The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopter are used for surveillance purposes in the border areas due to the high quality image detection with higher precision techniques. They are highly used in the border areas due to the long battery life and works efficiently. To enhance safety of a country, dedicated protection system is much important and mandatory. The advancement in the technology helps in many ways for the safety and security done with higher accuracy and without complete manual support in each and every system. This system helps to monitor with automatic techniques with remote monitoring. The armed forces such as army, navy and military are highly recommended to enable the use of the advanced technology to promote higher safety with advance automation in the communication networks. The overall functioning is done through the wireless sensor network which helps to communicate from remote places through the wireless communication system. The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopter are used for surveillance purposes in the border areas due to the high quality image detection with higher precision techniques. They are highly used in the border areas due to the long battery life and works efficiently. To enhance safety of a country, dedicated protection system is much important and mandatory. The advancement in the technology helps in many ways for the safety and security done with higher accuracy and without complete manual support in each and every system. This system helps to monitor with automatic techniques with remote monitoring. The armed forces such as army, navy and military are highly recommended to enable
With the increasing reliance on air conditioning systems for indoor comfort and climate control, innovative approaches are imperative to enhance efficiency, reduce costs, and extend equipment lifespan. This study pres...
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ISBN:
(数字)9798350350821
ISBN:
(纸本)9798350350838
With the increasing reliance on air conditioning systems for indoor comfort and climate control, innovative approaches are imperative to enhance efficiency, reduce costs, and extend equipment lifespan. This study presents a comprehensive investigation into a real-time air conditioning unit monitoring system integrated with advanced analytics for predictive maintenance. Using wireless sensor networks and different learning algorithms, the advancedsystem is capable of collecting real-time data, including temperature, vibration, voltage and current flow from air conditioning (AC) units. It addresses problems in monitoring and performing maintenance late or excessively early in AC units. In the study, a comprehensive look at different predictive analytical algorithms is carefully identified and evaluated. The result is a system with a graphical user interface for displaying current value parameters and predictive insights. By combining these technologies, maintenance is kept to a minimum, the life of the equipment is lengthened, and continuity is ensured. This feature will significantly lessen the delay and hassle in manual monitoring of AC units in FAITH Colleges and other schools and establishments where the system may be deemed applicable and necessary. The integration of real-time monitoring with predictive analytics sets a new benchmark for AC unit maintenance, pushing the frontier of smart home and industrial applications.
Organs-on-chips are a unique class of microfluidic in vitro cell culture models, in which the in vivo tissue microenvironment is mimicked. Unfortunately, their widespread use is hampered by their operation complexity ...
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Organs-on-chips are a unique class of microfluidic in vitro cell culture models, in which the in vivo tissue microenvironment is mimicked. Unfortunately, their widespread use is hampered by their operation complexity and incompatibility with end-user research settings. To address these issues, many commercial and non-commercial platforms have been developed for semi-automated culture of organs-on-chips. However, these organ-on-chip culture platforms each represent a closed ecosystem, with very little opportunity to interchange and integrate components from different platforms or to develop new ones. The translational organ-on-chip platform (TOP) is a multi-institutional effort to develop an open platform for automated organ-on-chip culture and integration of components from various developers. Central to TOP is the fluidic circuit board (FCB), a microfluidic plate with the form factor of a typical well plate. The FCB enables microfluidic control of multiple components like sensors or organ-on-chip devices through an interface based on openly available standards. Here, we report an FCB to integrate commercial and in-house developed components forming a stand-alone flow controlsystem for organs-on-chips. The controlsystem is able to achieve constant and pulsatile flow recirculation through a connected organ-on-chip device. We demonstrate that this system is able to automatically perfuse a heart-on-chip device containing co-cultures of cardiac tissues derived from human pluripotent stem cell-derived cardiomyocytes and monolayers of endothelial cells for five days. Altogether, we conclude that open technology platforms allow the integration of components from different sources to form functional and fit-for-purpose organ-on-chip systems. We anticipate that open platforms will play a central role in catalyzing and maturing further technological development of organ-on-chip culture systems.
Considering sensor faults for microreactor system actuated by Peltier devices, this work proposes an operator-based robust nonlinear fault tolerant controller (FTC) integrated with early fault detection by Support Vec...
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ISBN:
(纸本)9781665417525
Considering sensor faults for microreactor system actuated by Peltier devices, this work proposes an operator-based robust nonlinear fault tolerant controller (FTC) integrated with early fault detection by Support Vector Machine (SVM). Firstly, a physical model is formulated based on the law of heat transfer and the estimated model is derived based on Volterra identification. Then, an operator-based robust nonlinear controlsystem is employed to compensate the uncertainties and eliminate the effects of coupling. Furthermore, FTC integrated with SVM-based early fault detection is designed to improve the safety performance in the case of sensor faults. The simulation results indicate that SVM-based fault detection can shorten the detection time by comparison on the conventional method without SVM classier, meanwhile the FTC can also obtain desired tracking performance.
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Perfo...
ISBN:
(纸本)9783031829512
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance;adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation;using of a Robotic Platform to Detect Acoustic Events for Indoor Environments;modeling Wildlife Accident Risk with Gaussian Mixture Models;towards a Unified Incident Detection and Response system for Autonomous Transportation;edge-Processing of Myoelectric Signals for the control of Hand and Arm-Prostheses;AI-Driven Gesture and Action Recognition for Learning Medicine Through Virtual Reality;Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices;a Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints;motion Tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications;advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation;Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM;machine Learning Based Parameter Estimation of Energy Models in Digital Production Environments;efficient Classification of Live sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods;machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding;quantitative Trend Analysis of Reinforcement Learning Algorithms in Production systems;Using AutomationML for advanced Simulation in Industrial Automation;AR Digital Twin Demonstrator for Industrial Robotics Education;Accelerating Manual Pick-and-Place Operations with AR-Projected CAD Plans and AI-Assisted Object Recognition;variety Engineering – A Cybernetic Concept with Practical Implications;using a system Archetype to Explore a Business Model for Digital Textile Microfactories;interacting with the Water Cycle -
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Perfo...
ISBN:
(纸本)9783031838873
The proceedings contain 104 papers. The special focus in this conference is on Computer Aided systems Theory. The topics include: Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance;adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation;using of a Robotic Platform to Detect Acoustic Events for Indoor Environments;modeling Wildlife Accident Risk with Gaussian Mixture Models;towards a Unified Incident Detection and Response system for Autonomous Transportation;edge-Processing of Myoelectric Signals for the control of Hand and Arm-Prostheses;AI-Driven Gesture and Action Recognition for Learning Medicine Through Virtual Reality;Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices;a Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints;motion Tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications;advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation;Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM;machine Learning Based Parameter Estimation of Energy Models in Digital Production Environments;efficient Classification of Live sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods;machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding;quantitative Trend Analysis of Reinforcement Learning Algorithms in Production systems;Using AutomationML for advanced Simulation in Industrial Automation;AR Digital Twin Demonstrator for Industrial Robotics Education;Accelerating Manual Pick-and-Place Operations with AR-Projected CAD Plans and AI-Assisted Object Recognition;variety Engineering – A Cybernetic Concept with Practical Implications;using a system Archetype to Explore a Business Model for Digital Textile Microfactories;interacting with the Water Cycle -
Posture identification system has been extensively useful in areas such as physical activities, ecological awareness events, man machine interfacing applications, control room panel monitoring systems and in autonomou...
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Posture identification system has been extensively useful in areas such as physical activities, ecological awareness events, man machine interfacing applications, control room panel monitoring systems and in autonomous old people caring systems. This paper describes a sensor based posture detection and guidance system while doing yoga exercise. In our day-to-day life, doing yoga exercise has become a well-known discipline, which helps people to be physically fit and have good mental health. Practicing yoga exercise is a recognized system for the human beings to improve their physical and mental activities. This practice helps in regulatory activities in an individual's mind, body and soul. As a result of this, flexibility, muscle power and body image will increase. The existing method has shown the recognition of posture analysis through virtual reality and exergame. We proposed a suit that is designed and implemented through a virtual master. The suit is integrated with various types of accelerometer sensors which are fixed on the flexible bands, that are light in weight and are used indirectly to measure the orientation of the limbs. Also the sensor integrated suit is very helpful to measure the direction of the tilt moment. Predefined calibrated values are loaded on to the microcontroller, which are compared with the measured values and when there is a match the information is sent to a mobile application. The mobile app identifies whether the user is doing the posture correctly or not based on the information given to practice the yoga exercise. (C) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International conference on Integration of advanced Technologies for Industry 4.0 : Materials Science
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