0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Optimizing Dual IMU Sensor Placement for Gait Phase Detection with LSTM Models
نویسندگان :
Mahya Abedi
1
Zolfa Anvari
2
Hamed Ghafarirad
3
Mohammad Zareinejad
4
1- دانشگاه صنعتی امیرکبیر
2- دانشگاه صنعتی امیرکبیر
3- دانشگاه صنعتی امی
4- دانشگاه صنعتی امیر
کلمات کلیدی :
Gait phase detection،IMU sensors،sensor placement evaluation،LSTM network،real-time optimization،quantization techniques
چکیده :
Precise analysis of human gait phases is essential for diagnosing motor disorders, optimizing athletic performance, and designing assistive devices. However, achieving high accuracy in gait phase detection while maintaining real-time applicability poses significant challenges, primarily due to suboptimal sensor placement and latency constraints. This study addresses these challenges by optimizing the placement of Inertial Measurement Unit (IMU) sensors and applying quantization techniques to enhance real-time performance. Using a Long Short-Term Memory (LSTM) algorithm, four key gait phases—heel strike, toe strike, heel off, and toe-off—were analyzed across five distinct sensor configurations. Training features were uniquely selected for each configuration based on a systematic feature selection process to ensure optimal model performance. Experiments under controlled walking conditions demonstrated that the placement of sensors on the shin and bridge of the foot achieved the highest accuracy (97.4%), followed by the thigh and bridge of the foot (96.34%). Additionally, quantization techniques reduced latency to 3–5 milliseconds without compromising accuracy, highlighting the feasibility of real-time applications. The findings of this study establish a foundation for selecting optimal sensor placements tailored to specific accuracy and performance requirements. Researchers and practitioners can leverage these configurations to compare detection accuracy against their unique application needs, facilitating the design of efficient and practical gait analysis systems for medical, rehabilitation, and sports contexts.
لیست مقالات
لیست مقالات بایگانی شده
A Low-Power High-Precision Low-Dropout Regulator For Biomedical Implants
Vahid Baghbani khezerlu - Mohammad Yavari - Mortaza Mojarad
تشخیص حرکت دست با تکنیک ORB و شبکه عصبی پیچشی
مهین مقبلی - فرحناز مهنا - پوریا جعفری
Crypto Currency Price Prediction Using Preprocessed Scaled Inputs LSTM Model Enhanced by Improved Gray Wolf Optimization
Amir RabbaniParsa - Mahboobeh Hoshmand - Seyyed Abed Hosseini
Control of a Wheeled Robot in the Presence of Wheels Sliding Using Robust Adaptive Control in Differential Game Format
Alireza Azimi - Roya Amjadifard - Aliakbar Ghasemzadeh
Ambient Temperature Effect On SF6 Circuit Breakers Coil Current
Masoume Maghfourian - Ali Asghar Razi-Kazemi
A Hybrid Computer-aided Diagnosis System For Central Obesity Screening In A Large Sample Of Iranian Children and Adolescents
Amirhossein Koochekian - Morteza Farahi - Hamid Reza Sadr manouchehri Naeini - Mohammad Reza Mohebian - Hamid Reza Marateb - Marjan Mansourian - Roya Kelishadi
Design and Implementation of a Flexible CNN Accelerator for Fast Real-Time Object Detection on FPGA
Emadodin Sakhaee - Mahdi Kalbasi
Second-Order Sliding Mode Design Based on the Integration of Proportional-Integral and Nonlinear $\mathcal{H}_\infty$ Controllers for Load Frequency Control
Behrad Samari - Mohammad Javad Yazdanpanah
A Two-Step Stochastic Market-Oriented Approach for Optimal Operation of Commercial VPPs under Uncertainty
Jalal Moradi - Hossein Shahinzadeh - Ahmad Hafezimagham - Gevork B. Gharehpetian - S.M. Muyeen - Mohamed Benbouzid
Integration of P2G and Renewables in Stochastic Day-ahead Electricity-Gas Scheduling
Mojtaba Choghaei - Mohammad Kazem Sheikh-El-Eslami
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4