A batteryless electrochemical sensing system IC for miniaturized wearable sensor nodes is presented. A battery-powered hub node transmits the power and control signal required for the operation of sensor nodes through...
A batteryless electrochemical sensing system IC for miniaturized wearable sensor nodes is presented. A battery-powered hub node transmits the power and control signal required for the operation of sensor nodes through a human body. The sensor data acquired by sensor nodes are transmitted to the hub node, again through a body channel, using frequency modulation (FM). The intra-body power and data transfer leads to batteryless sensor node operation, and the direct-FM-based sensorinterface using a current-controlled oscillator (26.8 and 44.9 kHz/ $\mu\mathrm{A}$ ) simplifies sensor node hardware, which enables miniaturized wearable sensor nodes. By adding a proper multiplexing scheme among sensor nodes, the proposed system can be extended to a further advancedsystem consisting of distributed wearable sensor nodes.
The proceedings contain 125 papers. The topics discussed include: a survey of 5G-based positioning for industry 4.0: state of the art and enhanced techniques;inferring hidden structure in mobile network performance da...
ISBN:
(纸本)9798350311020
The proceedings contain 125 papers. The topics discussed include: a survey of 5G-based positioning for industry 4.0: state of the art and enhanced techniques;inferring hidden structure in mobile network performance data with noisy net promoter scores using a probabilistic graphical model;assessing how the use of teleworking impacts GHG emissions: a study case;comparing 5G network latency utilizing native security algorithms;the extended Vienna system-level simulator for reconfigurable intelligent surfaces;reliable sensor data gathering with Bluetooth mesh: an experimental study;mobile RF scenario design for massive-scale wireless channel emulators;designing medium access control protocol sequences through deep reinforcement learning;experimental assessment of electromagnetic field exposure from 5G terminal devices;advanced 5G open testbed for network applications experiments;and high-resolution channel sounding and parameter estimation in multi-site cellular networks.
Dysgraphia and cerebral palsy are neurological conditions that significantly impact an individual’s ability to perform precise and controlled hand movements, affecting their quality of life and ability to communicate...
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ISBN:
(数字)9798350352689
ISBN:
(纸本)9798350352696
Dysgraphia and cerebral palsy are neurological conditions that significantly impact an individual’s ability to perform precise and controlled hand movements, affecting their quality of life and ability to communicate effectively through writing or drawing. This paper presents a novel approach to addressing these challenges by introducing a robotic arm-assisted intervention system designed to enhance motor skills and aid in the rehabilitation process for individuals with dysgraphia and cerebral palsy. Our proposed robotic arm system is equipped with advancedsensors and adaptive control algorithms that enable precise and customizable support for users with varying degrees of motor impairment. Through a user-friendly interface, therapists can tailor the system to individual needs and track progress over time. The robotic arm’s assistance ranges from gentle guidance to active compensation, thereby promoting skill development while maintaining user engagement. In addition to its therapeutic benefits, our robotic arm system also holds potential for remote therapy, allowing individuals to access therapy resources from the comfort of their homes. The system’s intuitive interface and data-sharing capabilities facilitate collaboration between therapists, caregivers, and patients, enhancing the overall quality of care.
Increasing demand for spectrum resources has introduced the need for intelligent and dynamic spectrum management systems. To address this need, Peraton Labs is developing the Operational Spectrum Comprehension, Analyt...
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A Kalman filter is proved to be an effective tool for data processing. It was implemented widely over the last decade, mostly in robotics. This paper presents an application of sensor fusion to predict distance from a...
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ISBN:
(纸本)9784907764739
A Kalman filter is proved to be an effective tool for data processing. It was implemented widely over the last decade, mostly in robotics. This paper presents an application of sensor fusion to predict distance from a self-driving car to another object. We propose a method that uses a combination of sensors for distance estimation, which also uses a Kalman filter implementation to increase the efficiency of distance estimation. Multiple Lidars and a camera contribute to the improvement of data preprocessing for the Kalman filter. This application will help develop an advanced driverassistance system such as a collision warning system, vehicle velocity calculation, and an advanced emergency braking system.
This paper presents the design, implementation, and control of a robotic arm using Raspberry- pi, aiming to provide an intuitive and user-friendly interface for remote manipulation of the arm's movements. The syst...
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ISBN:
(数字)9798350365092
ISBN:
(纸本)9798350365108
This paper presents the design, implementation, and control of a robotic arm using Raspberry- pi, aiming to provide an intuitive and user-friendly interface for remote manipulation of the arm's movements. The system consists of mechanical components, sensors, microcontrollers, and an Android application for remote operation. It enables seamless communication between the gaming console/keyboard and the robotic arm through a wireless connection, allowing real-time control and monitoring of the arm's movements. The control algorithm focuses on accuracy, precision, and safety, incorporating collision detection and force feedback mechanisms. The paper discusses challenges faced during the design and implementation process, including mechanical design considerations, sensor integration, wireless communication protocols, and real-time control synchronization.
In the paper, a method to achieve a hardware-software controlsystem is presented, it could be an example for other control algorithms developing as well as an alternative to high-cost control implementation, especial...
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ISBN:
(数字)9798350352863
ISBN:
(纸本)9798350352870
In the paper, a method to achieve a hardware-software controlsystem is presented, it could be an example for other control algorithms developing as well as an alternative to high-cost control implementation, especially in the research area. The hardware side consists of two ESP32 for high-speed and real-time wireless data exchange and an Arduino Due as USB interface with the PC. The angle value is acquired from a six-axis gyro-accelerometer sensor and send to the control algorithm implemented in Excel, which provides the command value to control the angular position. Wireless data transmission at high-speed is accomplished using ESP-NOW protocol designed by Espressif, and the serial communication between Arduino DUE and Excel is facilitated by Data Streamer a Microsoft developed add tool. Tests performed on the simulated drone arm show interesting characteristics that can be obtained if control technics are implemented in common software as Excel, also defining a low-cost method possible to be widely used in the future researches.
The wireless earthquake alarm system described in this study is intended to notify people in advance of impending earthquakes and to give early warning. It detects seismic activity using wireless sensors and sends ind...
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ISBN:
(数字)9798350351408
ISBN:
(纸本)9798350351415
The wireless earthquake alarm system described in this study is intended to notify people in advance of impending earthquakes and to give early warning. It detects seismic activity using wireless sensors and sends indications right away to a central control unit. Based on the sensor measurements, the system analyzes and determines the earthquake's severity using sophisticated algorithms. The system notifies users of the presence of an earthquake by means of visual and aural alarms, enabling them to take appropriate safety measures and, if needed, escape. Because the system is wireless, it can be easily installed and scaled to fit a variety of environments, including workplaces, schools, and residential structures. This project's objectives are to improve public safety and reduce the hazards related to earthquakes through early detection and timely warning
This paper addresses the multiple faults estimation problem of actuator and sensor faults with using iterative learning observer (ILO) for nonlinear discrete-time systems. First, an augmented descriptor system includi...
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ISBN:
(数字)9798350387780
ISBN:
(纸本)9798350387797
This paper addresses the multiple faults estimation problem of actuator and sensor faults with using iterative learning observer (ILO) for nonlinear discrete-time systems. First, an augmented descriptor system including system state and sensor fault vectors is constructed to achieve multiple faults estimation purpose. Then, a novel iterative learning observer is proposed, and the nonlinear estimation error is deduced into a more compact system by using a reformulated Lipschitz property. Next, design conditions of the observers are derived into the LMI optimization problem where a slack variable and L
∞
. performance index is introduced to reduce the conservativeness and obtain a more excellent performance of fault estimation. Finally, numerical simulations of an example of a single-link robot arm are provided to illustrate the effectiveness of the proposed method and multiple fault estimation scheme.
The proceedings contain 15 papers. The special focus in this conference is on Advances in Mobile Computing and Multimedia Intelligence. The topics include: Face to Face with Efficiency: Real-Time Face Recogn...
ISBN:
(纸本)9783031483479
The proceedings contain 15 papers. The special focus in this conference is on Advances in Mobile Computing and Multimedia Intelligence. The topics include: Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices;multi-camera Live Video Streaming over Wireless Network;effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study;Implementation of a Video Game controlled by Pressing the Upper Arm Using PPG sensor;immerscape: Supporting the Creation of Immersive Soundscapes by Users in Cultural Heritage Contexts;analysis of Data Obtained from the Mobile Botnet;On the Impact of FFP2 Face Masks on Speaker Verification for Mobile Device Authentication;Blockchain-Enhanced IoHT: A Patient-Centric Internet of Healthcare Things Platform with Smart Contract-Driven Data Management;federated Learning for Collaborative Cybersecurity of Distributed Healthcare;does Use of Blink interface Affect Number of Blinks When Reading Paper Books?;a Method for Stimuli control of Carbonated Beverages by Estimating and Reducing Carbonation Level;a Knee Injury Prevention system by Continuous Knee Angle Recognition Using Stretch sensors;Ubiquitous Mobile Application for Conducting Occupational Therapy in Children with ADHD.
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