REA Press null REA Press3042-13063042-1306 REA Press https://doi.org/10.22105/thi.v1i1.19 Research Article Motion sensors, Arduino Lilypad, MPU6050 Motion sensing mechanism using the Lilypad Arduino and IMU sensors: A pilot studyMotion sensing mechanism using the Lilypad Arduino and IMU sensors: A pilot study Natarajan Sriraam Center for Medical Electronics and Computing, Ramaiah Institute of Technology, Bengaluru, India. RV Amogha Srinivasa Department of Medical Electronics Engineering, Ramaya Institute of Technology, Bengaluru, India. C Nadig Skanda Department of Medical Electronics Engineering, Ramaya Institute of Technology, Bengaluru, India. Malligarjun K S Department of Medical Electronics Engineering, Ramaya Institute of Technology, Bengaluru, India. V Nayak Abhinandan Department of Medical Electronics Engineering, Ramaya Institute of Technology, Bengaluru, India. 07 2024 22 07 2024 1 1 © 2024 REA Press 2024

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 Motion sensing mechanism using the Lilypad Arduino and IMU sensors: A pilot study

This paper enumerates the mechanism of motion sensing detection using some cool tech—the Arduino LilyPad and the MPU-6050 accelerometer and gyroscope module. Motion sensing is a big deal in making computers more responsive, creating incredible virtual worlds, and crafting wearable gadgets. The MPU-6050 is a star in this—it's small, power-efficient, and crazy accurate, making it a go-to sensor for anything to do with motion. A wearable shirt with a motion sensing sensor with a variation of the real-time processors such as Arduino LilyPad and MPU-6050 was designed and assessed for its motion detection efficacy using inertial measurement sensors such as an accelerometer and gyroscope. The pilot study reveals the importance of selecting processors for wearable electronics system development. The preliminary results were quite promising, and the system needs to be validated with more geriatric groups before commercialization.

null