Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino
DOI:
https://doi.org/10.59039/sikomtia.v1i3.22Keywords:
Microcontroller, Gesture Motion Imaging, Human and Computer Interaction, Gyrometer Sensor, Flex SensorAbstract
In the era of rapidly developing technology, the integration between body and technology becomes real, especially in the development of human and computer interaction. This research focuses on creating prototypes of motion imaging tools using microcontroller technology, responding to the need for more intuitive interactive tools in translating human movements. Using hardware and software engineering approaches, this study designed and tested a tool consisting of Gyrometer and Flex sensors. The gyrometer measures the orientation of motion, while the Flex sensor detects the curvature of the gesture. Tests include calibration between sensors, integration with the HC-05 Bluetooth transmission module as a wireless communication medium, and applications installed on smartphones as processing output information . The study introduced a method of gesture imaging of gestures, providing a solution to interact with computers more naturally. The urgency of this research answers the need to help translate human movement into digital input. The modeled tool is able to detect hand gestures with good accuracy. The smartphone as an output successfully displays information in the form of text and voice based on detected movements. This gesture model motion imaging tool successfully passed the testing stage, showing the effective results of the Gyrometer and Flex sensors in detecting and translating hand movements. The Bluetooth module as a data transmitter runs well sending data to an application on the smartphone, which then displays the information accurately.
Downloads
References
A. S. Ismailov, Z. B. Jo‘Rayev, and others, “Study of arduino microcontroller board,” Sci. Educ., vol. 3, no. 3, pp. 172–179, 2022.
S. Barrett, Arduino Microcontroller Processing for Everyone! Part II. Springer Nature, 2022.
T. Pan, Y. Zhu, T. Pan, and Y. Zhu, “Getting started with Arduino,” Des. Embed. Syst. with Arduino A Fundam. Technol. Makers, pp. 3–16, 2018.
S. Rosca, S. Riurean, M. Leba, and A. Ionica, “An educational model of graduation project for students at automation and computer engineering,” J. Digit. Sci, vol. 1, no. 1, pp. 34–42, 2019.
R. Alexandre, O. Postolache, and P. S. Girão, “Physical rehabilitation based on smart wearable and virtual reality serious game,” in 2019 IEEE international instrumentation and measurement technology conference (I2MTC), 2019, pp. 1–6.
K. Sancheti, A. Suhaas, P. Suresh, and others, “Hands-free cursor control using intuitive head movements and cheek muscle twitches,” in TENCON 2018-2018 IEEE Region 10 Conference, 2018, pp. 356–361.
M. Hilman, D. K. Basuki, and S. Sukaridhoto, “Virtual hand: VR hand controller using IMU and flex sensor,” in 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), 2018, pp. 310–314.
P. Telluri, S. Manam, S. Somarouthu, J. M. Oli, and C. Ramesh, “Low cost flex powered gesture detection system and its applications,” in 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020, pp. 1128–1131.
J. Lowgren, J. M. Carroll, M. Hassenzahl, T. Erickson, and A. Blackwell, “The encyclopedia of human-computer interaction,” Interact. Des. Found., 2019.
H. Malik and A. Mazhar, “EyeCom-An Innovative Approach for Computer Interaction,” Procedia Comput. Sci., vol. 151, pp. 559–566, 2019.
R. A. Antunes, L. B. Palma, H. Duarte-Ramos, and P. Gil, “Intelligent HCI device for assistive technology,” in Technological Innovation for Industry and Service Systems: 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, Costa de Caparica, Portugal, May 8--10, 2019, Proceedings 10, 2019, pp. 157–168.
S. Belgamwar and S. Agrawal, “An Arduino based gesture control system for human-computer interface,” in 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1–3.
C. Stephanidis et al., “Seven HCI grand challenges,” Int. J. Human--Computer Interact., vol. 35, no. 14, pp. 1229–1269, 2019.
F. Nugroho, A. T. Oktavianthi, and A. U. Bani, “Rancang Bangun Robot Humidifier Beroda Untuk Menjaga Kelembapan Udara Ideal Mencegah Terinfeksi Bakteri Berbasis Mikrokontroler,” Build. Informatics, Technol. Sci., vol. 4, no. 2, pp. 1091–1103, 2022, doi: 10.47065/bits.v4i2.1977.
D. Agam, A. U. Bani, and F. Nugroho, “Design and Build a Strength Recorder Soil Using Arduino Soil Moisture Sensor,” J. Eng. Technol. Comput., vol. 1, no. 3, pp. 126–132, 2022.
A. Hidayatulloh, A. U. Bani, and F. Nugroho, “Design A Bird Midge Tool Using Arduino-Based Laser Sensors,” J. Math. Technol., vol. 1, no. 1, pp. 1–7, 2022.
F. Nugroho, D. H. Farhan, and Y. L. Prambodo, “Rancang Bangun Alat Pendeteksi Arah dan Pengukur Kecepatan Angin Berbasis Arduino”.
A. U. Bani, F. Nugroho, and A. T. Arsyendo, “Design And Manufacture Of Tools Automatic Feeding And Drinking In Farm Chickens Arduino Microcontroller-Based,” J. Math. Technol., vol. 1, no. 1, pp. 8–16, 2022.
G. Thomas, “How to do your case study,” How to do your case study, pp. 1–320, 2021.
Nugroho, F., & Bani, A. U. (2023). Pemahaman Dasar Metodologi Penelitian (1st ed.). Deepublish.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Firman Aulia Akbar, Mega Tri Kurnia, Frencis Matheos Sarimole
This work is licensed under a Creative Commons Attribution 4.0 International License.
