Relevant bibliographies by topics / MPU6050

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'MPU6050'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "MPU6050"

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Zhang, Yunfan, Hui Li, Shengnan Shen, et al. "Investigation of Acoustic Injection on the MPU6050 Accelerometer." Sensors 19, no. 14 (2019): 3083. http://dx.doi.org/10.3390/s19143083.

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Acoustic injection is one of the most dangerous ways of causing micro-electro–mechanical systems (MEMS) failures. In this paper, the failure mechanism of acoustic injection on the microprocessor unit 6050 (MPU6050) accelerometer is investigated by both experiment and simulation. A testing system was built to analyze the performance of the MPU6050 accelerometer under acoustic injection. A MEMS disassembly method was adopted and a MATLAB program was developed to establish the geometric model of MPU6050. Subsequently, a finite element model of MPU6050 was established. Then, the acoustic impacts o
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PRIYADI, IRNANDA, FAISAL HADI, SALWA KHOTIMAH, and BESPERI BESPERI. "Modul Deteksi dan Perekaman Data Gempa berbasis Database Earthquake Intensity (DEI)." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 3 (2021): 648. http://dx.doi.org/10.26760/elkomika.v9i3.648.

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ABSTRAKIndonesia, khususnya provinsi Bengkulu, adalah salah satu negara yang rawan bencana gempa. Hal ini disebabkan karena secara histografi, posisi wilayah Indonesia merupakan pertemuan tiga lempeng aktif yang setiap kali lempeng ini bergeser menimbulkan patahan yang menyebabkan terjadinya gempa bumi. Paper ini membahas tentang rancangan modul deteksi gempa yang diberi nama Earthquake Intensity Meter. Rancangan modul terdiri dari sensor MEMS MPU6050 dan 2 buah sensor piezoelektrik. Masing-masing sensor dipisahkan dengan jarak 10 meter dengan sensor MPU6050 yang menjadi pusatnya dan 2 sensor
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Буслаев, А. Б., Н. Н. Кошелева, and С. С. Белокопытов. "MPU6050 MODULE CONTROL UNIT ON THE IC BUS BASED ON A MICROCONTROLLER." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 2 (May 11, 2021): 65–69. http://dx.doi.org/10.36622/vstu.2021.17.2.010.

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Рассматривается модуль GY-521, на котором установлена микросхема MPU6050, объединяющая в одном корпусе акселерометр, гироскоп и температурный датчик. Такие датчики изготовлены на основе микромеханических систем (МЭМС), основным преимуществом которых является малый размер, низкое энергопотребление и небольшая стоимость. Одновременное использование акселерометра и гироскопа позволяет определить изменение движения тела в трехмерном пространстве. Рассмотрены основные характеристики используемого модуля. Управление микросхемы осуществляется с помощью архитектуры интерфейса IC «ведущий-ведомый». В р
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WARNIATI, Ika Sudy Utami, and Lusia Rakhmawati. "Humanoid Robot Balance System With 27 DOF Using MPU6050 Gyroscope Sensor." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 8, no. 1 (2024): 52–58. https://doi.org/10.26740/inajeee.v8n1.p52-58.

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Penelitian ini bertujuan untuk membahas perancangan sistem keseimbangan pada robot humanoid penari. Dengan menggunakan sensor giroskop MPU6050 dan mikrokontroler STM32F103C8T8 dengan aktuator berupa servo MX-28 sehingga memungkinkan robot untuk menjaga keseimbangan saat melakukan berbagai gerakan tari dan berjalan dengan melewati halangan yang telah ditetapkan pada Kontes Robot Indonesia (KRI) khususnya Kontes Robot Seni Tari Indonesia (KRSTI) tahun 2023. Penelitian ini juga membahas tentang pentingnya pemilihan parameter yang tepat seperti arah putaran torsi motor servo dan pengaturan sudut u
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G.R, Dakshayini. "Gesture Driven Smart Car Using Arduino." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48123.

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ABSTRACT This project involves designing a gesture-controlled smart car using an Arduino Nano, MPU6050 sensor, L298N motor driver, and DC motors. The MPU6050 detects hand gestures, which are processed by the Arduino to control the car's motion (forward, backward, left, right, and stop). This intuitive system offers hands-free operation, with applications in robotics, assistive technology, and interactive demonstrations. It showcases Arduino-based robotics and sensor integration, with potential for wireless or autonomous upgrades. Keywords: Gesture-Controlled Smart Car, Arduino Nano, MPU6050 Se
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Titania Nur Alifah, Harianto, and Ira Puspasari. "Rancang Bangun Alat Deteksi Kecelakaan Sepeda Motor Berbasis Exponential Smoothing." JoTI 2, no. 1 (2020): 44–55. http://dx.doi.org/10.37802/joti.v2i1.54.

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Keterlambatan pada korban kecelakaan karena lokasi kecelakaan yang sepi mengakibatkan korban kecelakaan bisa meninggal ditempat. Maka dari itu, diciptakannya alat ini untuk mendeteksi kecelakaan pada sepeda motor. Alat ini menggunakan tiga sensor yaitu sensor SW420 sebagai deteksi getaran, sensor GY521 MPU6050 sebagai deteksi kemiringan dan Modul GPS untuk mendeteksi lokasi. Ketika sepeda motor mengalami kecelakaan, maka akan ada pesan ke aplikasi telegram berupa notifikasi kecelakaan dan lokasi kecelakaan ke aplikasi telegram. Hasil dari pengujian yang telah dilakukan dapat disimpulkan bahwa
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Tua, Rendi Sahila. "Implemention of system landslide disaster mitigation based internet of things." Journal Geuthee of Engineering and Energy (JOGE) 3, no. 1 (2024): 42–50. http://dx.doi.org/10.52626/joge.v3i1.35.

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Landslide mitigation tools are specifically made to detect angular slopes in the ground. This tool is a series of simple tools that utilizes an ESP32 microcontroller and real-time monitoring media via smartphone. This landslide mitigation tool consists of a tool frame which is generally made of iron, a mpu6050 sensor and a controller box. The main power source for the tool comes from a battery with a capacity of 12 V 7A. This tool is equipped with other components such as LCD, MPU6050 sensor, relay and siren. The designed tool will be placed in areas where landslides often occur. The MPU6050 s
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San, Santoso, Ratna Hartayu, Ahmad Ridho'i, Kukuh Setyadjit, and Lutfi Agung Swarga. "Implementasi Filter Complementary untuk Perbaikan Estimasi Sudut pada Robot Roda Dua." ALINIER: Journal of Artificial Intelligence & Applications 6, no. 1 (2025): 26–33. https://doi.org/10.36040/alinier.v6i1.14468.

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Penelitian ini bertujuan merancang sistem robot roda dua berbasis Arduino Uno dengan menggunakan sensor gyroscope MPU6050 untuk mengukur sudut kemiringan, menjaga keseimbangan menggunakan kontrol PID sederhana. Data sensor diproses menggunakan filter complementary untuk menggabungkan data gyroscope dan accelerometer. Nilai konstanta PID terbaik diperoleh pada Kp=35, Ki=0.8, Kd=25. Hasil pengujian menunjukkan robot mampu mempertahankan keseimbangan dengan error rata-rata ±2° dari sudut vertikal. Penggunaan filter complementary efektif mengurangi noise dan drift sensor. Penelitian ini membuktika
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Muhammad Ryan Prayogi and Tommy. "Design and Development of Air Mouse Using ESP32 and MPU6050 Sensor." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 1678–86. https://doi.org/10.59934/jaiea.v4i3.983.

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In the era of modern technology, innovations in digital input devices are growing, one of which is an air mouse based on ESP32 and MPU6050 sensors. The air mouse allows users to control the cursor on the computer screen with just a hand movement, which provides more comfort and flexibility compared to a conventional mouse. This research aims to design and develop an air mouse device using the ESP32 microcontroller and MPU6050 sensor, and test its performance in transforming hand movements into responsive cursor movements. The methods used include hardware design, installation of sensors and mo
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Julianti, Amelia, Irma Salamah, and Emilia Hesti. "Perancangan Helm Pintar dengan Fitur Keselamatan Deteksi Kantuk Berbasis NodeMCU dan Accelerometer." Building of Informatics, Technology and Science (BITS) 6, no. 2 (2024): 1201–10. https://doi.org/10.47065/bits.v6i2.5534.

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Driving safety is a major focus given the high number of accidents caused by drowsy drivers. This article discusses the design of a smart helmet that detects drowsiness to improve rider safety. The smart helmet integrates technology with drowsiness detection to reduce the risk of accidents and provide a safer driving experience. The system uses NodeMCU and MPU6050 Accelerometer to monitor head movement, activating an alarm if the head moves more than 5 degrees, which indicates drowsiness or loss of focus. It is expected that the risk of accidents due to drowsiness can be significantly reduced
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Dissertations / Theses on the topic "MPU6050"

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Murtaza, Alexander, and Oscar Stenström. "Handheld container stabilizer." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264484.

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Self-stabilizing systems can be found in many contexts. They are used in aircraft and camera gimbals to name a few. In this project, a self-stabilizing container was constructed. The construction consists of three parts. An inner ring which rotates around the Z-axis, an outer ring which rotates around the Y-axis and a handle with space for three DC motors and a microcontroller. In this project an Arduino Nano was used. To detect inclination an IMU (Inertial Measurement Unit) was deployed. An IMU is a sensor consisting of three gyroscopes and three accelerometers, one for each coordinate axis.
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Almeida, Ricardo Jorge Lopes de. "Bicicleta controlada: uma questão de equilíbrio." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21738.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>O presente trabalho propõe divulgar o estudo e a realização efetuada, de forma a obter um sistema composto por uma bicicleta, capaz de efetuar um passeio autónomo, em equilíbrio. Esta tese é constituída por uma apresentação dos componentes incluídos ao sistema inicial, onde figuram conceitos teóricos importantes à composição dos mesmos. É feita a descrição do modelo final relativamente ao sistema físico construído, onde este terá como objetivo a realização de uma viagem sem qualquer contacto físico com o utilizador, consistindo o sistema
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Al, Khodor Rami. "Rörelseanalyssystem." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-89071.

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Idag ses ett ökat intresse för användandet av rörelseanalys inom olika sammanhang t.ex. övervakning, dataspel och diagnostisk undersökning av personers rörelsemönster med mera. Optisk rörelseanalys är den teknik som finns mest idag, men de systemen är dyra och saknar lämplig mjukvara för klinisk användning. En forskargrupp vid centrum för medicinsk teknik och strålningsfysik (CMTS) forskning och utvecklings avdelning (MT-FoU) vid Norrlands universitetssjukhus har sedan 2007 jobbat med en produktidé som bygger på att skapa ett nytt mobilt system för rörelseanalys som kan användas i medicinska u
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Books on the topic "MPU6050"

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K, Anbazhagan, and Ambika Parameswari K. Raspberry Pi - Amazon Alexa Voice Services, Voice Controlled Home Computerization, DS18B20 Temperature Sensor, DHT11 Humidity Sensor, MPU6050 Gyro Sensor, Hall Sensor Etc, . .: New Updated Projects. Independently Published, 2019.

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Book chapters on the topic "MPU6050"

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Tripathi, Jyoti, and Bijendra Kumar. "Machine Learning Assisted MPU6050-Based Road Anomaly Detection." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0189-0_32.

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Al-Dahan, Ziad Tarik, Nasseer K. Bachache, and Lina Nasseer Bachache. "Design and Implementation of Fall Detection System Using MPU6050 Arduino." In Inclusive Smart Cities and Digital Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39601-9_16.

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Raj, Ashwini, B. Rohit, M. D. Samuru Rafi, and V. N. Arumbu. "Design of Gesture Guided Car for Differently-abled using MPU6050." In Atlantis Highlights in Engineering. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-754-0_5.

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Pham, Duc An, and Trung Nghia Pham. "Determination of a Tilt Angle for the Automatic Balancing System with the Inertial Measurement Unit MPU6050." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99666-6_52.

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Fernández-Canosa, Sara, Verónica López González, Antonio Consoli, and Vanesa Soto-León. "Healthcare Based on IoT Using Arduino, MPU6050 Accelerometer and Gyroscope Sensor and FSR-174 Strain Gauge for Fatigue." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34586-9_11.

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Shashikala, H. K., T. R. Mahesh, V. Vinoth Kimar, et al. "Smart Medicine Reminder System and SOS Device." In Handbook of Research on Advancements in AI and IoT Convergence Technologies. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6971-2.ch001.

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In the standard direction of business, continuously tracking and dealing with the fitness of a person is a tough task. Humans of all ages ought to have their fitness examined on an everyday basis. The aim is to notify the victim's household of the twist of fate through predetermined contacts and locate the nearest hospital, telling them of the twist of fate in order that assistance may be dispatched. This prototype uses the gyroscope, accelerometer, GPS, and GSM. The aim of these studies is to create a device that may come across the presence of a twist of fate even as additionally reminding c
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Conference papers on the topic "MPU6050"

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Jayanthi, T., S. N. Shivappriya, R. S. Santhosh, S. Saranjith, V. Teenu Karthick, and S. Thirisha. "Arduino Based Gaming Glove Using Mpu6050 Sensor." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012640.

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Kumar, Pranav Swarup, and U. Vignesh. "Analysis of the Kalman Filter with the MPU6050 Accelerometer and Gyroscope." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724704.

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Ding, Wenbo, Ting Liu, Yanting Wang, Yukai Ge, Mingyang Zhu, and Ruichen Jiang. "Design of Home Robot Based on MPU6050 Six-Axis Robotic Arm." In 2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC). IEEE, 2025. https://doi.org/10.1109/citsc64390.2025.00007.

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Arambulo, John Matthew G., Robert Lue R. Asturias, Ma Sharamae T. Capuso, et al. "Mimicking 5-DOF Robotic Neck Through IMU MPU6050 Sensor with Movement Compensation." In 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2024. http://dx.doi.org/10.1109/iceeict61591.2024.10718519.

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Sampumo, Wahyu Aji, Putra Wisnu Agung Sucipto, Ilham Ari Elbaith Zaeni, Azhar Ahmad Smaragdina, Yuni Rahmawati, and Agung Nugroho. "Push-Up Movement Detection and Counting System Using MPU6050 Accelerometer Sensor Based on Arduino." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10942105.

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Kadeeja, M. J., John Aldrin Soza, Irine George, K. J. Jayakrishnan, Tresa Joseph, and Remya George. "IoT-Based Fall Detection and Airbag Deployment System for Enhanced Elderly Care Using NodeMCU ESP8266 and MPU6050 Sensor." In 2024 International Conference on Brain Computer Interface & Healthcare Technologies (iCon-BCIHT). IEEE, 2024. https://doi.org/10.1109/icon-bciht63907.2024.10882302.

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Fachreza Hidavat, Ahmad Yudhistira, Siti Sendari, Yogi Dwi Mahandi, et al. "Implementation of MPU6050 Module Based On ROS and PID Controller as Stabilization Control and Rotational Motion of SAR Robot." In 2024 International Conference on Electrical and Information Technology (IEIT). IEEE, 2024. https://doi.org/10.1109/ieit64341.2024.10763060.

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Smirnov, Andrej. "Stabilizacija drona pomoću MPU6050." In 17th Student Project Conference. University of Nis, Faculty of Electronic Engineering, 2024. http://dx.doi.org/10.46793/ieeestec17.263s.

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Narula, Rhythm, Pulkit Barwal, and Gaurav Singal. "Structural analysis using MPU6050 gyroscope." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023. http://dx.doi.org/10.1109/icccnt56998.2023.10308340.

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Jian, Huang. "Design of Angle Detection System Based on MPU6050." In 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icemc-17.2017.2.

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