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

作者： Mafalda Martinho Hao Zhou Gursel Alici Applied Mechatronics and Biomedical Engineering Research (AMBER) Group School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong NSW Australia

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

This study introduces a sensorised device designed to address current shortcomings of post-stroke patient rehabilitation assessment. The device interfaces with a platform allowing therapists to visually analyse real-time data and retrieve it for an in-depth analysis. The study details the development and characterisation of Pneumatic Sensing Chambers (PSCs) using Finite Element Analysis (FEA) and mechanical testing. After selection and integration, the sensors were incorporated into a compact, portable object with communication established via multiplexers and an Arduino Nano. The system was connected to a laptop using LabView for user interface. It allows concurrent measurement of finger forces during grasping movements for both hands, with real-time visualization and data retrieval support. The device offers a cost-effective, precise, and adaptable solution, with potential for further enhancements in precision, durability, and applicability in stroke rehabilitation scenarios. This tool has the capacity to significantly enhance rehabilitation strategies and aid in the recovery process.

关键词： Multiplexing Portable computers Telemedicine Grasping Patient rehabilitation Stroke (medical condition) sensor phenomena and characterization

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A Basic Study to Develop a system for Monitoring Surfer Behavior and Board Deformation During Surfing

A Basic Study to Develop a System for Monitoring Surfer Beha...

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IEEE Global conference on Consumer Electronics (GCCE)

作者： Ziqi Meng Takako Nonaka Graduate School of Engineering Shonan Institute of Technology Fujisawa Japan Dept. Mechanical Engineering Shonan Institute of Technology Fujisawa Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

This study describes developing a system for monitoring surfer behavior and board deformation during surfing. This system will help surfers choose the right board, design it, and improve their surfing performance. Motion analysis used video images from multiple viewpoints to assess surfers' posture. However, it was difficult to capture video images that could analyze the movements of advanced surfers from every angle. A concept for a measurement system was proposed to evaluate the deformation of the board, and a mockup experiment was carried out to examine the performance and installation positions of the sensors that were to be adopted. As a result, a strain gauge suitable for evaluating the deformation of the board was selected. It shows that surfers have different stances, and even the same surfer may change his stance before and after a turn to control his board, so further detailed experiments were required regarding the sensor placement. The study also suggested that further lab experiments require a simulator to replicate the board's motion during a real turn physically.

关键词： sensor placement Deformation Position measurement Strain measurement sensor systems Motion analysis Monitoring Consumer electronics

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Visualized control of Brushless Auto-Car Wash system using Intelligent controller

Visualized Control of Brushless Auto-Car Wash System using I...

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International conference on advanced Computing and Communication systems (ICACCS)

作者： Shivagond Teli Vinayak Patil Sandeep Bhausaheb Jadhav Amit Kadam Sandhya Jadhav W. Rajanbabu Department of Mechanical Engineering Bharati Vidyapeeth College of Engineering Navi Mumbai India Department of Mechanical Engineering Saraswati College of Engineering Navi Mumbai India Department of Electrical and Electronics Engineering Sri Eshwar College of Engineering Coimbatore India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

Efficient use of space and water is the important requirement of car washing system. Even though the car washing system is automated with advanced controllers, there is a limitation in the sense of use of water, energy and scratch free operation. Car washing with brushing system is implemented in the majority of the car washing stations. Due to the high friction between the fiber or metal body of the car and the bristle of the brushes, minor scratches are formed on the surface. In addition to that, the fading of outer surface of car is the major problem. In ordered to overcome the above said drawback, the brushless auto brushless car washing system is introduced. The brushless auto car washing system uses the high-pressure water along with the foam. The foam is uniformly applied on the surface of the car without any discontinuity. By using the high-pressure water for cleaning purpose, the dust and stain on the surfaces are easily removed without any scratches. The Q-controller controls the entire operation of the system and GOT2000 screen is used for visualizing the whole operation of the brushless auto car washing system. Prototype model is developed with Q-series intelligent controller and tested in the project laboratory.

关键词： Visualization Prototypes Process control Aerospace electronics Cleaning sensor systems Timing Safety Automobiles Logic

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IoT-Enabled Monitoring and control system with Wireless Drip Rate Monitoring

IoT-Enabled Monitoring and Control System with Wireless Drip...

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International conference on Power, Energy, control and Transmission systems (ICPECTS)

作者： K. Durgadevi N. Balaji R. Karthik C. Amali Department of Electronics and Communication Engineering SRM Valliammai Engineering College Tamilnadu India Department of Instrumentation and Control Engineering Sri Sairam Engineering College Tambaram Tamilnadu India Department of Electrical and Electronics Engineering SRM Valliammai Engineering College Tamilnadu India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508852

Infusion therapy plays a crucial role in delivering medications and fluids to patients, but it often requires close monitoring and manual intervention by healthcare providers. The InfuCare system addresses these challenges by integrating IoT-enabled devices and advanced analytics to enable remote monitoring, control, and optimization of infusion processes. At its core, the InfuCare system consists of IoT-enabled infusion pumps equipped with sensors to monitor parameters such as flow rate, pressure, and volume infused. These pumps communicate with a central monitoring platform via IoT connectivity modules, transmitting real-time data on infusion progress and patient status. A drip rate monitoring device can be used to measure the rate of intravenous infusion. There is now a wireless drip rate monitoring gadget available. In order to detect the drops, this gadget uses Ultrasonic TX (UTX) and Ultrasonic RX (URX). The sensor was installed to the drip chamber using a mountable clasp mechanism. The device determines the drip rate using a microprocessor, and when the drip rate goes outside of the predetermined range, the Wi-Fi connection module wirelessly alerts the central monitoring station. The technology guarantees real-time tracking of drip infusion parameters in this virtual environment, including accurate fluid level readings and physiological response monitoring. The smooth communication in the simulated environment made possible by the integration with Node MCU illustrates the design’s potential for developing an intelligent and networked healthcare infrastructure. IR sensor, DHT11, and HBR/SPO2 are used for remotely tracking human health care.

关键词： Wireless communication Wireless sensor networks Fluids Process control Medical treatment sensor systems Real-time systems Intelligent sensors Remote monitoring Optimization

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Tongue Driven Electric Wheelchair based on Magnetic Hall Effect sensor

Tongue Driven Electric Wheelchair based on Magnetic Hall Eff...

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International conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Abel Thomas Varghese Ajith S Kumar Jude Jose Joyal Reji Shanooga Chandran Tomson Thomas Electrical and Electronics Engineering St. Joseph’s College of Engineering and Technology Palai Kerala India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

This paper presents the development and implementation of an innovative electric wheelchair which is controlled using Tongue Drive system (TDS) utilizing magnetic Hall Effect sensors. Traditional wheelchair control mechanisms pose challenges for individuals with limited mobility, necessitating alternative solutions. Leveraging the precision and versatility of tongue movements, the proposed system integrates magnetic Hall Effect sensors to detect subtle tongue gestures, translating them into wheelchair commands. The system offers a reliable and intuitive interface, enhancing mobility and independence for individuals with disabilities.

关键词： Technological innovation Tongue Sensitivity Wheelchairs Magnetic sensors Smart homes Drives

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More Than Automation: User Insights into the Functionality and interface of Wheelchair-Mounted Robotic Arms 25

More Than Automation: User Insights into the Functionality a...

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ACM/IEEE International conference on Human-Robot Interaction (HRI)

作者： Lesong Jia Breelyn Kane Styler Na Du School of Computing and Information University of Pittsburgh Pittsburgh USA Human Engineering Research Laboratories VA Pittsburgh Healthcare System Pittsburgh USA

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

While voice-controlled automated Wheelchair-mounted robotic arms (WMRAs) could potentially offer more natural and simplified interactions than manual control, they introduce new challenges related to human-robot collaboration. To explore user expectations in terms of functionality and interface, we conducted semi-structured interviews with 13 powered wheelchair users who have upper limb impairments. A prototype with a robotic arm, a camera, and a Unity-based simulated interface was developed to help users understand the concept and functionality of the voice-controlled automated WMRA system during interviews. With safety as a priority, we found that users prioritized the WMRA's ability to grasp objects in challenging positions, such as on the ground or at high locations, and emphasized the need for a versatile gripper. Users also expected the WMRA to assist in performing complex daily tasks, with varying expectations for its performance based on task difficulty. Regarding the interface, users sought more information about the system's awareness and task execution, while emphasizing the importance of avoiding information overload. The demand for detailed safety information, such as temperature and gripping force, pointed to the need for enhanced sensor capabilities in the WMRA system. Additionally, concerns about privacy underscored the need for clear communication on privacy policies. Our results provide user-centered insights for automated WMRA, offering design implications and future research directions in areas such as user modeling, hardware, algorithms, and interface development.

关键词： Privacy Limbs Wheelchairs Human-robot interaction Grasping Manipulators Hardware Safety Mobile robots Interviews

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Task Assessment of XoNLI: A Natural Language interface for Occupational Exoskeletons

Task Assessment of XoNLI: A Natural Language Interface for O...

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IEEE/RAS-EMBS International conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Olmo A. Moreno F. Raajshekhar Parameswari Christian Di Natali Jesus Ortiz Darwin G. Caldwell Advanced Robotics Department Istituto Italiano di Tecnologia Genova Italy

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Industrial employees working in manual material handling tasks are prone to musculoskeletal disorders. These impacts workers' health, development, and productivity. An active exoskeleton is a potential solution for reducing the risk of workplace injuries. Because active exoskeletons are mechanical devices with electrical components such as sensors, actuators, and control modules, the user must have access to configuration options to adjust the control strategy before performing tasks. Large language models present an alternative approach to achieve human-machine interaction in a more natural way using the human voice and allow the exoskeleton wearer to make simple adjustments and modifications in the controller to modulate the proper assistive forces. This paper presents an evaluation of usability attributes for a voice user interface to command and modify exoskeleton domains and achieve a level of interaction with the wearable device. Experiments were performed using seventeen subjects using a voice and visual interface with the back-support exoskeleton Xotrunk. The results showed that the voice user interface has a greater level of satisfaction, efficiency, effectiveness, and a lower degree of cognitive load than the visual interface.

关键词： Performance evaluation Productivity Mechanical sensors Visualization Musculoskeletal system Exoskeletons Natural languages Wearable devices Usability Robots

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Noncontact Human-Machine interface Using Complementary Information Fusion Based on MEMS and Triboelectric sensors

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advanced SCIENCE 2022年第21期9卷 e2201056-e2201056页

作者： Le, Xianhao Shi, Qiongfeng Sun, Zhongda Xie, Jin Lee, Chengkuo Natl Univ Singapore Dept Elect & Comp Engn 4 Engn Dr 3 Singapore 117583 Singapore Natl Univ Singapore Ctr Intelligent Sensors & MEMS CISM 5 Engn Dr 1 Singapore 117608 Singapore Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China NUS Suzhou Res Inst NUSRI Suzhou Ind Pk Suzhou 215123 Peoples R China Natl Univ Singapore NUS Grad Sch Integrat Sci & Engn Programme ISEP Singapore 119077 Singapore

Current noncontact human-machine interfaces (HMIs) either suffer from high power consumption, complex signal processing circuits, and algorithms, or cannot support multidimensional interaction. Here, a minimalist, low-power, and multimodal noncontact interaction interface is realized by fusing the complementary information obtained from a microelectromechanical system (MEMS) humidity sensor and a triboelectric sensor. The humidity sensor composed of a two-port aluminum nitride (AlN) bulk wave resonator operating in its length extensional mode and a layer of graphene oxide (GO) film with uniform and controllable thickness, possesses an ultra-tiny form factor (200 x 400 mu m(2)), high signal strength (Q = 1729.5), and low signal noise level (+/- 0.31%RH), and is able to continuously and steadily interact with an approaching finger. Meanwhile, the facile triboelectric sensor made of two annular aluminum electrodes enables the interaction interface to rapidly recognize the multidirectional finger movements. By leveraging the resonant frequency changes of the humidity sensor and output voltage waveforms of the triboelectric sensor, the proposed interaction interface is successfully demonstrated as a game control interface to manipulate a car in virtual reality (VR) space and a password input interface to enter high-security 3D passwords, indicating its great potential in diversified applications in the future Metaverse.

关键词： bulk wave resonators graphene oxide human-machine interface humidity sensors noncontact triboelectric sensors

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A Touchless control interface for Low-Cost ROVs

A Touchless Control Interface for Low-Cost ROVs

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OCEANS conference

作者： Kapicioglu, Kagan Getmez, Enis Akbulut, Batuhan Ekin Akgul, Arda Ucar, Burak Kanlikilic, Berke Koc, Mehmet Gur, Berke Bahcesehir Univ Mechatron Engn Istanbul Turkey Turkol Yazilim Ltd Sti Software Dev Istanbul Turkey Bahcesehir Univ Elect & Elect Engn Istanbul Turkey

ISBN: (纸本)9780692935590

In this paper, a fully touchless control interface for low cost remotely operated vehicles (ROVs) is presented. This interface aims to decrease training time, reduce workload, and ensure the operation ergonomics of ROV operators. Fully touchless control interface is achieved by a machine learning (ML) algorithm for ROV operator's face and orientation recognition, and controling the angle of an ROV-based camera. Furthermore, a Leap Motion sensor captures hand gestures and movements, thereby allowing the ROV operator to execute maneuvers and perform other functions (e.g., gripper or lighting control) based on pre-determined hand gestures. Fusion of face and hand gestures allows the operator to control ROV in a fully touchless way. The proposed system is tested in a realistic underwater simulation environment designed specifically for typical tasks that are present in student competitions. Trials with inexperienced operators show that the touchless interface can cut training times, speed up operations, reduce workload, and can provide the operator with a more natural feeling of command and control as well as better ergonomy.

关键词： Touchless control interface human machine interfaces Leap Motion machine learning ROV

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Gesture Based Symbiotic Robot Programming for Agile Production 10

Gesture Based Symbiotic Robot Programming for Agile Producti...

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10th IEEE International conference on Computational Intelligence and Virtual Environments for Measurement systems and Applications (IEEE CIVEMSA)

作者： Gaebert, Carl Djemal, Achraf Hellara, Hiba Ben Atitallah, Bilel Ramalingame, Rajarajan Barioul, Rim Salzseiler, Dennis Fricke, Ellen Kanoun, Olfa Thomas, Ulrike Tech Univ Chemnitz Robot & Human Machine Interact Lab Chemnitz Germany Tech Univ Chemnitz Measurements & Sensor Technol Chemnitz Germany Tech Univ Chemnitz Chair German Linguist Semiot & Multimodal Commun Chemnitz Germany

ISBN: (纸本)9781665434454

Agile production lines call for an effective and intuitive way of programming robots. However, traditional approaches rely on providing low-level instructions using either a script-based language or a graphical user interface to export low-level instructions. This, however, can be tedious for assembly tasks. In this work, we present an approach that generates low-level robot control commands from highly abstract communicative hand gestures. In contrast to other works, we use several abstraction layers to generate such commands with as little user input as possible. For this, we use a body-attached multi-sensor setup consisting of a pressure band, a smart glove, EMG and IMU units. Their combined signals define a multi-dimensional vector per time step. We use a Recurrent Neural Network to infer the gesture class from the pre-processed data stream. From these user inputs we generate a set of symbolic spatial relations describing the assembly process. This formal description is then used to select and execute robot skills such as grasping. Hence, we reduce the ambiguity of abstract instructions in several steps and allow for effective gesture-based robot programming. In our work we give insights in defining and detecting such gestures. In addition, we illustrate the functionality of the whole system at real-world examples.

关键词： assembly skills sensor networks deep learning gesture recognition communicative gestures

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