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sensor based posture detection system

Sensor based posture detection system

引用

international conference on Integration of Advanced technologies for Industry 4.0 (ICIATI) - Materials Science

作者： Devi, K. Nirmala Anand, Jose Kothai, R. Krishna, J. M. Ajai Muthurampandian, R. KCG Coll Technol Chennai Tamil Nadu India

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

关键词： Mobile app Posture detection sensors Suit Yoga

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Deep Learning Utility for Gas/Odor sensor Signature Analysis 2

Deep Learning Utility for Gas/Odor Sensor Signature Analysis

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Raut, Yashasvi Chaudhri, Shiv Nath Faculty of Engineering and Technology Department of Computer Science and Engineering Maharashtra India

ISBN: (纸本)9798331505745

Gas/odor sensors are integral components of sensor systems used in diverse applications such as food quality control, environmental monitoring, medical diagnostics, odor profiling, industrial safety, agriculture, explosives detection, wine tasting, pharmaceutical quality control, and toxic gas detection. Traditional approaches in this domain of gas/odor sensing technologies face challenges related to accuracy, cross-sensitivity, and drifted real-time performance. The integration of deep learning techniques with gas sensors has shown promise in overcoming these limitations. Moreover, this amalgamation of gas sensing and deep learning strategies enables accurate identification of gases/odors, handling complex patterns, and leading optimal consumption of resources. In this paper, an overview of advancements in deep learning-enabled gas sensing has been presented that focused on methodologies, sensor types, and applications. This review also highlights the state-of-the-art techniques and identifies gaps for future directions for research. © 2025 IEEE.

关键词： Damage detection

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Niobium Pentaoxide Thin-Film Gas sensor for Portable Acetone Sensing 15

Niobium Pentaoxide Thin-Film Gas Sensor for Portable Acetone...

引用

15th international conference on Advanced technologies, Systems and Services in Telecommunications, TELSIKS 2021

作者： Lombardo, Luca Grassini, Sabrina Parvis, Marco Donato, Nicola Gullino, Alessio Politecnico di Torino Department of Electronics End Telecommunications Torino Italy Politecnico di Torino Department of Applied Science and Technology Torino Italy University of Messina Department of Engineering Messina Italy

ISBN: (纸本)9781665444422

Acetone gas sensing finds application in several fields such as biomedical applications, food industry, chemical manufacturing and environmental monitoring. Often, such applications require good sensing performance and portability of the sensing devices. This paper proposes a conductometric gas sensor based on a thin-film of Nb2O5 able to detect acetone at the sub-ppm level with good selectivity and repeatability. The quite small dimensions and the low power consumption make the proposed sensor suitable for portable applications. © 2021 IEEE.

关键词： Medical applications

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Object Detection by Tiny-YOLO on TurtleBot3 as an Educational Robot 4th

Object Detection by Tiny-YOLO on TurtleBot3 as an Educationa...

引用

4th international conference on Communication and Intelligent Systems, ICCIS 2022

作者： Moezzi, Reza Saw, Adrian Bischoff, Stefan Cyrus, Jindrich Hlava, Jaroslav Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Faculty of Electrical Engineering and Computer Science Görlitz University of Applied Sciences Zittau Germany

ISBN: (纸本)9789819923212

By the unceasing efforts of many scientists, machine learning algorithms are increasing quickly with an enhanced object detection performance for the explicit applications on specific devices. This paper investigates the operation of TurtleBot3 as an educational wheeled autonomous robot which Tiny-YOLO algorithm has been applied as a novel application on it. At first, the required knowledge about the kinematics and dynamics of a differential drive robot with constraints is studied, and a graph where the robot is working under some specific conditions is plotted. The robot operating system (ROS) and simultaneous localization and mapping (SLAM) of the TurtleBot3 have been explained. The robot is equipped with a LiDAR sensor and a camera embedded onto it as a sensor fusion SLAM for a more precise type of mapping. Finally, Tiny-YOLO as a machine learning algorithm for object detection is implemented based on the fact that Raspberry Pi could not handle the full YOLO due to its memory capacity limitation, and the results are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robot Operating System

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19th international conference on Computers Helping People with Special Needs, ICCHP 2024

19th International Conference on Computers Helping People wi...

引用

19th international conference on Computers Helping People with Special Needs, ICCHP 2024

ISBN: (纸本)9783031628481

The proceedings contain 116 papers. The special focus in this conference is on Computers Helping People with Special Needs. The topics include: Perception of Environmental Sound by Young Deaf and Hard-of-Hearing People: Listening at Different Noise Levels;using a Novel Conversational Method for Measuring Comprehension of D/HoH Viewers Consuming Captioning Content for Entertainment Purposes;NERWEB: User-Friendly Software for Caption Quality Assessment Using the NER Model;closed Sign Language Interpreting: A Usability Study;customization of Closed Captions via Large Language Models;designing Pachi: A Verbal Language Learning Application for Children with Hearing Impairment in India;interaction Techniques for Motor-Disabled Users Introduction to the Special Thematic Session;automatic Bars with Single-Switch Scanning for Target Selection;wordGlass: Additional Keys to Present the Most Likely Words;development and Evaluation of a Low-Cost, High-Precision sensor System for Mouth-Operated Joysticks;augmentative and Alternative Communication Innovations in Products and Services: Introduction to the Special Thematic Session;Developing a Web-Based Platform for Forming Language Capability Assessment for AAC Users;Perceived Impact of Person-Centred Technology-Based AAC for Adults with ASD;AsTeRICS Grid: Why Freely Accessible Software is Needed for Democratizing AAC in the Long Term;A Location and Situation-Based AAC Web Service with Automatic Synchronization of Individual Mobile applications;An AAC Application for Generating Japanese Response Phrases Using GPT-4;symbol Builder for Autocreation of Images for Alternative and Augmentative Communication;Towards Adaptive Multi-modal Augmentative and Alternative Communication for Children with CP;cognitive Disabilities and Accessibility: Introduction to the Special Thematic Session;designing Self-management for and with Persons Living with Dementia;creative technologies in Action: Empowering Individuals with Intellectual Disabilities;

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Algorithm and Application of Artificial Intelligence in Wireless sensor Network Coverage 1

引用

4th international conference on Wireless Communications and applications, ICWCA 2020

作者： Gao, Ruiyang Chen, Tingran Zhang, Xin Lv, Ziliang Beihang University Beijing China

ISBN: (数字)9789811651649

ISBN: (纸本)9789811651632

Artificial intelligence algorithm with its powerful processing ability to solve existing problems has attracted the attention of many experts and scholars. It has been gradually combined with the infinite sensor network, and a lot of research has been done on the energy control positioning system, router selection, and so on. Due to the slow convergence of particle swarm algorithm is easy to be the best to solve these problems, this paper presents a particle swarm algorithm based on artificial potential field (virtual force particle swarm optimization algorithm, VFPSO), in the artificial potential field algorithm, particle swarm optimization algorithm of iterative process introduced virtual force between particles, and the initial solution of optimization problem is more evenly spread out, the front-end optimization iteration of repulsive force is stronger. In the later stage, the anchor nodes are enhanced to improve the convergence efficiency of the algorithm, and the best solution with higher quality is found. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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Wireless sensor Energy Harvesting and Management 4th

Wireless Sensor Energy Harvesting and Management

引用

4th international conference on Wireless Communications and applications, ICWCA 2020

作者： Zhang, Huanan Wang, Feng School of Data and Computer Science Guangdong Peizheng College Guangzhou510830 China School of Computer Engineering Hubei University of Arts and Science Hubei Province Xiangyang441053 China

ISBN: (纸本)9789811651632

This paper analyzes the energy harvesting and management of wireless sensor network nodes and studies the principle, technology and method of energy collection of wireless sensor network nodes. Energy management of wireless sensor network nodes should be solved from two aspects of energy saving and energy supply. The harvesting principles and methods of various energy sources in the environment, including solar energy, wind energy, sound energy, vibration energy, thermoelectricity and electromagnetic field energy, are analyzed. sensor nodes should absorb energy from the environment in as many ways as possible to ensure long-term, stable and reliable operation of sensor nodes. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy management

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A cavity model microwave patch antenna for lubricating oil sensor applications

A cavity model microwave patch antenna for lubricating oil s...

引用

3rd international conference on Advancement in Nanoelectronics and Communication technologies (ICANCT)

作者： Kumar, Kunde Santhosh Bavithra, A. Madhan, M. Ganesh Anna Univ Dept Elect Engn MIT Campus Chennai Tamil Nadu India

This paper presents a single port micro strip patch cavity antenna for identifying lubricant oil level as well as its quality. The antenna sensor has a compact structure with a ground plane of 52 mm x 45 mm and radiating patch of 40 mm x 31 mm. The substrate is made up of FR-4 (epsilon r = 4.3) material with 1.6 mm thickness and the copper clad of 0.035 mm thickness. The cavity height is 1.5 mm and cavity is made up of FR-4 material. The parameters of the sensor are optimized using the CST-Microwave Studio tool (CST-MWS) and designed at 3.16 GHz operation, under unloaded conditions. When the cavity is filled with the fresh engine oil, then the resonance frequency reduces to 2.79 GHz. The proposed antenna provides a sensitivity of 554 MHz/epsilon. A prototype of the designed antenna is fabricated and its characteristics are found to match with simulation. The antenna impedance is found to increase with volume of oil, for all conditions. Moreover, the resonant frequency of sensor is gradually decrease with increase oil volume inside the cavity of antenna sensor. (C) 2022 Elsevier Ltd. All rights reserved.

关键词： Microstrip cavity antenna Radiating patch Sensitivity Lubricating oil Resonant frequency Dielectric constant Oil sensor

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Deployment of sensor Node in Heterogeneous Network

Deployment of Sensor Node in Heterogeneous Network

引用

international conference on Parallel Distributed and Grid Computing (PDGC)

作者： Sandeep Sandeep Rishi Pal Singh CSE Department GJUS&T Hisar India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

The use of sensor nodes in heterogeneous networks marks a significant progress in the field of wireless sensor networks (WSNs), hence enhancing the adaptability and efficiency of the networks in various applications. This approach combines several sensor nodes into one network to offer thorough and strong data collecting. Every node has unique power needs, communication methods, and set of capabilities. Among the several significant applications—such as in smart cities, industrial automation, environmental monitoring, and healthcare—the main advantages are enhanced data accuracy, error resilience, and situational adaptation to new conditions. The areas of worry include assuring perfect compatibility, effective energy management, and safe data transport. Future research and development activities based on advanced technologies such 5G, machine learning, and artificial intelligence will mostly focus on enhancing the efficiency and efficacy of network deployment and operation. This will enable intelligent decision-making and real-time monitoring in environments limited resources.

关键词： Wireless sensor networks Smart cities Heuristic algorithms Surveillance Scalability Heterogeneous networks Real-time systems Security Research and development Resilience

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Dynamic Load Regulation of Robots with Multi-sensor Fusion 4

Dynamic Load Regulation of Robots with Multi-sensor Fusion

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2022 4th international conference on Artificial Intelligence technologies and applications, ICAITA 2022

作者： Cao, Xinqian Tan, Benying Li, Yujie Ding, Shuxue School of Artificial Intelligence Guilin University of Electronic Technology Guilin541004 China

Multi-sensor fusion technology has been extensively deployed for the autonomous navigation and control of robots. Theoretically, by increasing the number of sensors, more effective data on the surrounding environment and obstacle information can be obtained. However, in practical applications, a massive number of sensors will not only increase the cost of using sensors in the system but also add to the difficulty and cost of data processing, leading to unnecessary resource consumption. To solve this problem, first, the robot navigation area is divided according to the importance of the navigation area and the characteristics of sensor parameters. The navigation non-core area adopts the single lidar sensor, while the core area adopts the multi-sensor fusion of "lidar +"to reduce the number of sensors used in the fusion and improve the performance of multi-sensor fusion after the division. Then, in consideration of the higher requirement for computing capacity of the device imposed by deep learning, the multi-sensor fusion algorithm is introduced into the dynamic load regulation mechanism to solve the problem from the algorithm level so that the outperformance of deep learning in feature extraction and other aspects can be utilized to reduce the performance requirements of the device and the overall power consumption of the system. Finally, by building the ROS experimental platform, it is verified that the robot can use autonomous navigation in complex and diversified home scenes. © Published under licence by IOP Publishing Ltd.

关键词： Robots

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