Wearable Weightlifting Monitoring System Using ESP32, ESP-NOW, and Fuzzy Logic
DOI:
https://doi.org/10.68437/jejpte.v6i2.10Keywords:
wearable monitoring, weightlifting, ESP32, ESP-NOW, fuzzy logicAbstract
This study presents a wearable prototype for real-time monitoring of wrist position and heart rate during weightlifting. The system combines an MPU9250 inertial sensor, a MAX30102 photoplethysmography sensor, two ESP32 modules, ESP-NOW wireless communication, and a fuzzy-logic-based condition classifier. The ESP32-C3 Super Mini operates as the wearable transmitter, while the ESP32-S3 LILYGO T-Display AMOLED acts as the receiver and user interface. The study used a Research and Development (R&D) approach with quantitative functional testing. The reported tests showed that heart-rate detection depended strongly on skin contact, wrist inclination was detected across the tested orientations, and communication remained stable to 20 m without obstacles and to 5 m under the tested obstacle condition. The prototype classified the tested cases as Safe, Warning, or Danger and generated corresponding visual and audible feedback. Because the original experimental record did not include reference-device validation, packet-level communication statistics, measured battery endurance, or the numerical membership and defuzzification parameters of the fuzzy model, the findings are limited to functional prototype evaluation. The main implication is that the device is suitable as a monitoring and feedback prototype for wrist position and heart rate, while further validation is required before broader performance or safety claims are made.
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References
Allen, J. (2007). Photoplethysmography and its application in clinical physiological measurement. Physiological Measurement, 28(3), R1. https://doi.org/10.1088/0967-3334/28/3/R01
Anderson, M. E., Yegbe, J. J. S., Gyan, M., & Tagoe, H. (2025). A Wearable System for Real-Time Posture Monitoring and Feedback during Strength Training. Research Square, 1–18. https://doi.org/10.21203/RS.3.RS-8128868/V1
Baklouti, S., Chaker, A., Rezgui, T., Sahbani, A., Bennour, S., & Laribi, M. A. (2024). A Novel IMU-Based System for Work-Related Musculoskeletal Disorders Risk Assessment. Sensors, 24(11), 3419. https://doi.org/10.3390/S24113419
Charlton, P. H., Argüello-Prada, E. J., Mant, J., & Kyriacou, P. A. (2025). The MSPTDfast photoplethysmography beat detection algorithm: Design, benchmarking, and open-source distribution. Physiological Measurement, 46(3), 035002. https://doi.org/10.1088/1361-6579/ADB89E
Chen, H., Schoefer, K., Manika, D., & Tzemou, E. (2024). The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research. Journal of Public Policy & Marketing, 43(2), 151–170. https://doi.org/10.1177/07439156231224731
Cosma, A., & Radoi, I. E. (2021). WildGait: Learning Gait Representations from Raw Surveillance Streams. Sensors, 21(24), 8387. https://doi.org/10.3390/S21248387
DigiKey. (n.d.). Battery Life Calculator | DigiKey Electronics. Retrieved July 13, 2026, from https://www.digikey.com/en/resources/conversion-calculators/conversion-calculator-battery-life
Ebrahimi, Z., & Gosselin, B. (2023). Ultralow-power photoplethysmography (PPG) sensors: A methodological review. IEEE Sensors Journal, 23(15), 16467–16480. https://doi.org/10.1109/JSEN.2023.3284818
Espressif. (2023). ESP32-C3 Series Datasheet Version 2.4.
Fat, J. (2024). Relational Change Prior to Matter and Spacetime: An Axiomatic Framework.
Fraden, J. (2016). Handbook of Modern Sensors: Physics, Designs, and Applications (5th ed.). Springer.
Healthdirect Australia. (2025). Resting heart rate – definition, impacting factors and how to check it. Healthdirect Australia. https://www.healthdirect.gov.au/resting-heart-rate
Kok, M., Hol, J. D., & Schön, T. B. (2017). Using inertial sensors for position and orientation estimation. Foundations and Trends in Signal Processing, 11(1–2), 1–153. https://doi.org/10.1561/2000000094
Ludas, M. (2023, May 16). Ego lifting – IronMaster. https://www.ironmaster.com/blog/2023/05/16/ego-lifting/
Madgwick, S. O. H., Harrison, A. J. L., & Vaidyanathan, R. (2011). Estimation of IMU and MARG orientation using a gradient descent algorithm. IEEE International Conference on Rehabilitation Robotics, 1–7.
Mamahit, C. (2024). Rumah Pintar dengan Lampu Kontrol Suara Menggunakan Arduino Uno R3. Electrician: Jurnal Rekayasa Dan Teknologi Elektro, 18(2), 144-152. https://doi.org/10.23960/elc.v18n2.2567
Mamahit, C., Wauran, A., Manoppo, F., Seke, F., & Ticoh, J. (2023). Smart home with voice control lights using Arduino Uno R3. JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro, 3(2), 97-104.
NanJing Top Power ASIC Corp. (2023). TP4056 1A Standalone Linear Li-Ion Battery Charger with Thermal Regulation in SOP-8.
Petek, B. J., Al-Alusi, M. A., Moulson, N., Grant, A. J., Besson, C., Guseh, J. S., Wasfy, M. M., Gremeaux, V., Churchill, T. W., & Baggish, A. L. (2023). Consumer wearable health and fitness technology in cardiovascular medicine: JACC state-of-the-art review. Journal of the American College of Cardiology, 82(3), 245–264. https://doi.org/10.1016/J.JACC.2023.04.054
Ramadhani Amran, A., Informasi Kesehatan, M., & Kesehatan Megarezky, P. (2025). Peran teknologi wearable dalam memprediksi serangan jantung: Masa depan kesehatan digital. NAAFI: Jurnal Ilmiah Mahasiswa, 1(3), 227–235. https://doi.org/10.62387/NAAFIJURNALILMIAHMAHASISWA.V2I2.138
Sanggola, M., Mamahit, C., Seke, F., & Ponto, H. (2022). Pengembangan Sistem Gerak Robot Berkaki Enam. JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro, 2(1), 53-60. https://doi.org/10.53682/edunitro.v2i1.3644
Seitz, L. B., & Haff, G. G. (2015). Application of methods of inducing postactivation potentiation during the preparation of rugby players. Strength and Conditioning Journal, 37(1), 40–49. https://doi.org/10.1519/SSC.0000000000000116
SHOOKSTER, D., LINDSEY, B., CORTES, N., & MARTIN, J. R. (2020). Accuracy of commonly used age-predicted maximal heart rate equations. International Journal of Exercise Science, 13(7), 1242. https://doi.org/10.70252/XFSJ6815
Silitonga, D. & Wahyudi. (2025). Design of Temperature Control in Air Conditioner Using Self Tuning PID Based on Fuzzy Mamdani. (2025). JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro, 5(2), 91-100. https://doi.org/10.53682/edunitro.v5i2.12574
Simpson, L., Maharaj, M. M., & Mobbs, R. J. (2019). The role of wearables in spinal posture analysis: A systematic review. BMC Musculoskeletal Disorders, 20(1), 55. https://doi.org/10.1186/S12891-019-2430-6
Sumaiya, M. N., Vachanamruth, G. S., Naveen, V., Varshitha, C., & Yashaswini, V. P. (2024). Wearable sleeve for physiotherapy assessment using ESP32 and IMU sensor. Computational Intelligence and Deep Learning Methods for Neuro-Rehabilitation Applications, 101–119. https://doi.org/10.1016/B978-0-443-13772-3.00002-9
Washmuth, N. B., McAfee, A. D., & Bickel, C. S. (2022). Lifting techniques: Why are we not using evidence to optimize movement? International Journal of Sports Physical Therapy, 17(1), 104. https://doi.org/10.26603/001C.30023
Walukow, T., Mamahit, C., & Ticoh., J. (2025). Perancangan Sistem Otomasi Penyiraman Pestisida Menggunakan Sensor Ultrasonik Berbasis IoT. (2025). JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro, 5(2), 113-122. https://doi.org/10.53682/edunitro.v5i2.12681
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zhafira, M., & Sardi, J. (2024). Implementation of Internet of Things (IoT) in heart rate measurement tool. JTEIN: Jurnal Teknik Elektro Indonesia, 5(1), 99–110. https://doi.org/10.24036/JTEIN.V5I1.581
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Copyright (c) 2026 I Gusti Ngurah Putu Abhirama Widyadhana, Suraidi, S.T., M.T., Ir. Joni Fat, S.T., M.E., M.T. (Author)
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