MuscleNET: Smart Predictive Analysis for Muscular Activity Using Wearable Sensors

التفاصيل البيبلوغرافية
العنوان: MuscleNET: Smart Predictive Analysis for Muscular Activity Using Wearable Sensors
المؤلفون: Gemici, M., Korkmaz, K., Ayhan, N.T., Soylu, S., Guc, F., Ogrenci, A.S.
بيانات النشر: Institute of Electrical and Electronics Engineers Inc.
سنة النشر: 2022
مصطلحات موضوعية: deep learning, feature extraction, machine learning, mobile application, muscle activity, signal processing, training support, Forecasting, Learning systems, Mobile computing, Wearable sensors, Features extraction, Machine-learning, Mobile applications, Muscle activities, Prediction-based, Quality prediction, Signal-processing, Surface electromyography signals, Muscle
الوصف: 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 --7 September 2022 through 9 September 2022 -- --183936 ; Doing weightlifting training at home has become more popular during the pandemic. Unfortunately, exercising without professional help can lead to dangerous injuries such as muscle tearing. It is possible to create a smart system with machine learning to overcome muscle injuries and suggest an appropriate training program. The use of suitable algorithms enables us to develop programs that can perform predictions based on sEMG (Surface Electromyography) signals. In this study, sEMG signals are collected from the skin surface and features are extracted to be used in deep learning networks. A wearable hardware collects sEMG signals and transfers them to our mobile application via Bluetooth. The mobile application transfers data to the cloud to make predictions based on sEMG signals. We developed MuscleNET for training monitoring, injury prediction/detection, and training quality prediction. Initial measurements indicate that MuscleNET can be used effectively for training quality prediction and real time training monitoring. © 2022 IEEE.
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
ردمك: 978-1-66548-894-5
1-66548-894-8
Relation: Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://doi.org/10.1109/ASYU56188.2022.9925553; https://hdl.handle.net/20.500.12469/4946; 2-s2.0-85142727242
DOI: 10.1109/ASYU56188.2022.9925553
الاتاحة: https://hdl.handle.net/20.500.12469/4946
https://doi.org/10.1109/ASYU56188.2022.9925553
Rights: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.64F935BE
قاعدة البيانات: BASE
الوصف
ردمك:9781665488945
1665488948
DOI:10.1109/ASYU56188.2022.9925553