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54th Meeting of the Italian Electronics Society

作者： Dabbous, Ali Fresta, Matteo Bellotti, Francesco Berta, Riccardo Univ Genoa Dept Elect Elect & Telecommun Engn DITEN Via Opera Pia 11a I-16145 Genoa Italy

ISBN: (纸本)9783031487132;9783031487118;9783031487101

Wearable technology has gained significant attention in research and commercial applications, including sports, where data collection and analysis play a crucial role in improving skills. This study focuses on tennis and the real-time classification of main shots, such as forehand, backhand, and serve. While previous studies have utilized machine learning methods for classification, they often relied on cloud or desktop processing. This paper proposes a novel neural architecture for real-time shot classification using an embedded device directly attached to a tennis racket, specifically the arduino nano 33 BLE Sense. The system processes six-axis time-series data collected from the IMU sensor, and the goal is to develop a lightweight model that can operate within the computational and memory limitations of edge devices. A 1-D convolutional neural network (CNN) is proposed for shot classification, which can effectively process 1-D time series. The experimental results demonstrate the successful classification of forehand, backhand, and serve shots using the trained model. This work highlights the potential of time series analysis in sports activities and emphasizes the importance of leveraging low-power embedded devices for efficient real-time analysis in the field.

关键词： 1-D CNN arduino nano Embedded device Tennis shot

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Breast milk volume using portable double pump microcontroller arduino nano

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ENFERMERIA CLINICA 2020年第Sup2期30卷 555-558页

作者： Arsyad, Nur Aliya Syarif, Syafruddin Ahmad, Mardiana As'ad, Suryani Hasanuddin Univ Grad Sch Midwifery Dept Makassar Indonesia Hasanuddin Univ Dept Elect Engn Makassar Indonesia Hasanuddin Univ Med Fac Makassar Indonesia

Objective: This study aims to understand the workings of portable double pumping arduino nano microcontroller, and analyze the average volume of breast milk produced between right and left breast using a portable double pumping using an arduino nano microcontratter. Methods: The study was conducted in the working area of the Jumpandang Baru Health Center. The breast milk-experimental method uses a pilot study approach. The sample collection formula is a feeder experiment with a purposive sampling technique following the predetermined inclusion criteria obtained by a sample of 15 breastfeeding mothers. Results: There was a difference in the average expenditure of breast milk after being pumped for 15 min using a portable double pumping arduino nano microcontroller with a value of rho = 0.028, rho < alpha = 0.05, the right breast produced more milk with an average value of 68.0 ml, while for the left breast the average value is 55.0 ml. Conclusion: Our result confirmed that portable double pumping arduino nano microcontroller can be used as a breast milk tool for working mothers. (C) 2019 Published by Elsevier Espana, S.L.U.

关键词： Double pump arduino nano Breast milk volume

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Quaternary Classification of Image Fog Opacity on arduino nano BLE using Modified CNN 7

Quaternary Classification of Image Fog Opacity on Arduino Na...

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2023 7th International Conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Surepally, Surya Prakash Bhamdipati, Rahul Gargay Jatoth, Ravi Kumar Naresh, Malothu National Institute of Technology Department of Electronics and Communication Engineering Warangal India

ISBN: (纸本)9798350304268

Image dehazing is a significant area of study with many real-world applications. However, only foggy/hazy images can be used with this technology. Therefore, to use image dehazing technology, it is necessary to classify images as either hazy/foggy or clear to eliminate computational redundancy. It is not optimal to rely solely on human perception because it is unpredictable and vulnerable to bias. Therefore, an appropriate algorithm is necessary for effective image classification. An initial haze-clear classification is re- /sub-classified into more classes. The algorithm presented in this research study classifies images into four categories: clear, dense fog, hazy, or light fog. Tiny Machine Learning Shield and arduino nano 33 BLE are used to implement the algorithm. With the aid of Edge Impulse, the Convolutional Neural Network (CNN) model is trained, examined, and approved. Real-time image capture by the camera is combined with classification by the model. On the serial monitor, the classification results are shown. © 2023 IEEE.

关键词： arduino nano clear Convolutional Neural Network (CNN) dense fog Edge Impulse haze image classification light fog

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Haptic Glove for Deaf and Dumb People Using arduino nano 2

Haptic Glove for Deaf and Dumb People Using Arduino Nano

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Walikar, Pavanakumar Adhyapak, S.S. Patil, Shashidhar B. Shah, Bhavi BLDEA's V.P.Dr.P.G.Halakatti College of Engineering and Technology Department of Mca Karnataka Vijayapura India

ISBN: (纸本)9798350308846

A microcontroller-based system has been created to measure finger movements using hand-specific flex sensors. The system is designed as a wearable glove and utilizes five flex sensors to detect wrist bending corresponding to specific finger gestures. Each finger on the palm has a set of flex sensors to capture the movements accurately. The flex sensors change their resistance values based on the bending angle formed during finger movements. As the fingers bend, the resistance increases proportionally. The heart of the system is an extensively used eight-bit microcontroller, the ATMega328P, which features an internally 10-bit multiplexed Analog-to-Digital converter to handle the sensor signals effectively. While designing the glove, some critical considerations include calibration and accommodating variations in finger size, height, and thickness among different patients. Accurate measurements of these parameters are essential to prevent overlapping of the finger gestures and ensure reliable gesture recognition. © 2023 IEEE.

关键词： American Sign Language (ASL) arduino nano Flex Sensor Human-machine interfaces STM Microcontroller Vision based gesture recognition

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Control and Monitoring System Design Tunnel Light Using NodeMCU and arduino nano and Networking 9

Control and Monitoring System Design Tunnel Light Using Node...

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9th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2022

作者： Hutajulu, Albert Gifson Tambunan, Juara Mangapul Husada, Hendrianto Prabowo, Yani Institut Teknologi PLN Fakultas Ketenagalistrikan Dan Energi Terbarukan Jakarta Indonesia Universitas Budiluhur Fakultas Teknologi Informasi Jakarta Indonesia

ISBN: (数字)9786239213565

ISBN: (纸本)9781665470438

Transportation serves as a means of connecting and has a very significant role in the movement of goods and people. Road transportation as connectivity between regions in urban areas, has tunnel roads that serve car and motorcycle riders for 24 hours. For this reason, it is necessary to control and monitor tunnel lights so that the quality of street lighting is well maintained in accordance with the specified lighting standar value. The purpose of this research is to design a tunnel light control and monitoring system using NodeMCU and arduino nano that can be controlled remotely using WiFi networking solution. This monitoring system is equipped with an arduino nano controller electronic circuit, RS485, INA219 current sensor and LM393 light sensor. From the test results, it was found that the system was able to control 8 tunnel LED lights, 4 on the left side and 4 on the right side of the tunnel road. The monitoring results show that the tunnel lights can be controlled by dimmer value of 6 and 12 on the flame and dim and the current value and lumens value of each light point can be monitored. © 2022 Institute of Advanced Engineering and Science (IAES).

关键词： arduino nano control and monitoring NodeMCU

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Application of Ba0.5Sr0.5TiO3 (Bst) Film Doped with 0%, 2%, 4% and 6% Concentrations of RuO2 as an arduino nano-Based Bad Breath Sensor

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CHEMOSENSORS 2020年第1期8卷 3-3页

作者： Irzaman Siskandar, Ridwan Yuliarto, Brian Fahmi, Mochammad Zakki Ferdiansjah IPB Univ Phys Dept Bogor 16680 West Java Indonesia IPB Univ Coll Vocat Studies Comp Engn Study Program Bogor 16151 West Java Indonesia Bandung Inst Technol Engn Phys Dept Bandung 40132 West Java Indonesia Airlangga Univ Chem Dept Surabaya 60115 East Java Indonesia Gadjah Mada Univ Nucl & Tech Phys Dept Yogyakarta 55281 Indonesia

Ba0.5Sr0.5TiO3 (BST) film doped with variations in RuO2 concentration (0%, 2%, 4%, and 6%) has been successfully grown on a type-p silicon substrate (100) using the chemical solution deposition (CSD) method and spin-coating at a speed of 3000 rpm for 30 s. The film on the substrate was then heated at 850 degrees C for 15 h. The sensitivity of BST film + RuO2 variations as a gas sensor were characterized. The sensitivity characterization was assisted by various electronic circuitry with the purpose of producing a sensor that is very sensitive to gas. The responses from the BST film + RuO2 variation were varied, depending on the concentration of the RuO2 dope. BST film doped with 6% RuO2 had a very good response to halitosis gases;therefore, this film was applied as the arduino-nano-based bad-breath detecting sensor. Before it was integrated with the microcontroller, the voltage output of the BST film was amplified using an op-amp circuit to make the voltage output from the BST film readable to the microcontroller. The changes in the voltage response were then shown on the prototype display. If the voltage output was <= 12.9 mV, the display would read "bad breath". If the voltage output >42.1 mV, the display would read "fragrant". If 12.9 mV < voltage output <= 42.1 mV, the display would read "normal".

关键词： Ba0.55Sr0.45TiO3 (BST) film RuO2 bad breath gas sensor op-amp arduino nano

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Level Transducer Circuit Implemented by Ultrasonic Sensor and Controlled with arduino nano for its Application in a Water Tank of a Fire System

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2021年第10期12卷 464-471页

作者： Chamorro-Atalaya, Omar Arce-Santillan, Dora Morales-Romero, Guillermo Quispe-Andia, Adrian Trinidad-Loli, Niceforo Auqui-Ramos, Elizabeth Leon-Velarde, Cesar Gutierrez-Zubieta, Edith Technol Univ Lima Sur UNTELS Fac Engn & Management Lima Peru Univ Nacl Educ Enrique Guzman & Valle UNE Lima Peru Univ Tecnol Peru UTP Dept Humanities Lima Peru Univ San Martin de Porres USMP Lima Peru

This article aims to describe the design of a circuit of a level transducer implemented by means of an ultrasonic sensor and controlled by arduino nano, applied to a water tank of a firefighting system. Initially, the integration of the Siemens 1212C programmable logic controller is described, in the connection between the sensor, the controller and the interfaces that allow to generate the monitoring, control and data recording, conditioned by a PWM pulse width modulated signal controlled by arduino nano. When developing the research and performing an analysis of the linear regression model, it is established that the behavior of the controlled variable with respect to time, generates a linear voltage response in the range of 0 to 10 volts;expressing in terms of correlational relationship a factor of R2 equal to 0.997, thus establishing that the designed transducer does not show susceptibility to noise or disturbances in the start-up of the firefighting system.

关键词： Level transducer ultrasonic sensor arduino nano control pulse width

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Implementation of Wireless Sensor Network as Fire Detector using arduino nano

Implementation of Wireless Sensor Network as Fire Detector u...

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International Conference of Computer Science and Information Technology

作者： Andi Ray Hutauruk Jomen Pardede Pangeran Aritonang Rosari Fernanda Saragih Albert Sagala Institut Teknologi Del Indonesia

ISBN: (数字)9781728154237

ISBN: (纸本)9781728154244

At this time there are still many fires that occurred. One cause of this disaster is human negligence. Fire can cause damage to lives and financial loss. The first indication of fire is smoke and fire, or gases too. This paper presents the application of a fire detection system. This fire system will use arduino nano as a microcontroller and the wireless nRF24L01 as communication data. this system has 2 microcontrollers that have different functions. The first microcontroller will be used as the slave that detects fires by using fire, smoke and gas sensors. the second microcontroller will be used as a master that functions as an access point and is used to activate a fire warning in the form of a lamp and a buzzer sound. Tool design has a small size, efficient, easy to use and has met the system that has been designed without reducing the reliability and power of the system. In this study, we will make the slave consist of three parts with different locations.

关键词： arduino nano Fire Detection Wireless Sensor Network. Wireless sensor networks fire detection Fire detectors Fire Microcontrollers Slaves access points power systems Smoke nanotechnologies

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基于arduino nano音乐喷泉控制系统的设计

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自动化应用 2021年第2期 65-68页

作者：杨晓鹏汪鑫成运城学院机电工程系山西运城044000

针对人们对宜居环境的追求,设计了以arduino nano为核心控制器的音乐喷泉控制系统,该系统根据MP3解码芯片解码的音乐频率可以改变彩灯的变化、电机喷水的花样,并通过点阵模块进行频谱显示。同时可在手机上位机通过蓝牙模块控制切换TF卡... 详细信息

针对人们对宜居环境的追求,设计了以arduino nano为核心控制器的音乐喷泉控制系统,该系统根据MP3解码芯片解码的音乐频率可以改变彩灯的变化、电机喷水的花样,并通过点阵模块进行频谱显示。同时可在手机上位机通过蓝牙模块控制切换TF卡中存储歌曲的播放,并通过控制器处理数据后在LCD屏显示歌名。经过实物验证,本设计具有很高的可行性和实用性,对现代化节能型音乐喷泉控制系统有一定的参考价值。

关键词： MP3解码 arduino nano 电机上位机点阵模块

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Wearable arduino-Based Electronic Interactive Tattoo: A New Type of High-Tech Humanized Emotional Expression for Electronic Skin

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SENSORS 2025年第7期25卷 2153-2153页

作者： Luo, Chuanwen Zhang, Yan Zhang, Juan Hui, Linyuan Qi, Ruisi Han, Yuxiang Sun, Xiang Li, Yifan Wei, Yufei Zhang, Yiwen Sun, Haoying Li, Ning Zhang, Bo North China Univ China Sch Architecture & Art Dept Architecture Jinyuanzhuang Rd 5 Beijing 100144 Peoples R China Beijing Univ Technol Beijing Hist Bldg Protect Engn Technol Res Ctr Beijing 100124 Peoples R China

Skin is the largest organ of the human body and holds the functions of sensing, protecting, and regulating. Since ancient times, people have decorated their skin by painting themselves, cutting, and using accessories to express their personality and aesthetic consciousness as a kind of artistic expression, one that shows the development and change of aesthetic consciousness. However, there are concerns regarding the inconvenience, high time cost, and negative body perception with traditional tattoos. In addition, the trend of skin decoration has gradually withdrawn due to a lack of intelligent interaction. In response to these problems, we proposed a wearable electronic skin tattoo that offers a novel means of communication and emotional expression for individuals with communication impairments, WABEIT. The tattoo uses skin-friendly PDMS as the base material, combines multi-mode sensing components such as silver wire circuit, a programmable Surface-Mounted Device (SMD), a thin-film-pressure sensor, and a heart rate sensor, and combines the embedded development board arduino nano for intelligent interaction, forming a wearable electronic interactive tattoo capable of sensing the environment, human-computer interaction, and the changeable performance of intelligent perception. The sensor is also equipped with a mobile power supply to support portability. The advantages of WABEIT are as follows: first, it avoids the pain, allergy, and long production process of traditional tattoos. Second, the patterns can adapt to different needs and generate feedback for users, which can effectively express personal emotions. Thirdly, the facility of removal reduces social discrimination and occupational constraints, which is especially suitable for East Asia. Experimental results indicate that the device exhibits a high sensitivity in signal response, a wide variety of pattern changes, and reliable interactive capabilities. The study demonstrates that the proposed design philosophy

关键词： electronic interactive tattoo e-skin arduino nano sensor integration

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