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
Ultra-wideband RCS Reduction Using Checkerboard Configuration of Bed of Nails
Sadegh Sarjoughian - Mohsen Maddahali - Ahmad Bakhtafrouz
RSF: Reinforcement learning based hybrid split and federated learning for edge computing environments
Alireza Soleimani - Negar Anabestani - Mahmoud Momtazpour
Forecasting Tehran Stock Exchange Trend with Time Series Analysis, Fundamental Data, and Sentiment Analysis in News
Mahdi Shamisavi - Amir Jahanshahi
A Novel Analytical Tuning Method for Designing of Composite Nonlinear Feedback Control Law in Continuous-time Dynamical Systems
Ali Vazani - Valiollah Ghaffari
تحلیل حرارتی لیزر تابنده از سطح کاواک-عمودی با ساختار بازتابگر ترکیبی توری کنتراست بالا یکپارچه و بازتابشگر براگ
حسن هوشدار رستمی - وحید احمدی - سعید پهلوان
40Hz Auditory Entrainment Promotes Synchronization Between Frontal and Parietal Regions of the Brain
Mojtaba Lahijanian - Hamid Aghajan
Numerical Study of a Microfluidic-Based Motile Sperm Enrichment Using Sperm Rheotactic Behavior
Mohammadjavad Bouloorchi - Saeed Javadizadeh - Aref Valipour - MirBehrad Mousavi - Majid Badieirostami
بازسازی تصویر با معکوس کردن شبکه GAN
علی مجلسی کوپائی - سعید باقری شورکی - احمد شعبانی
Breast Cancer Detection by Time-Reversal Imaging Using Ultra-Wideband Modified Circular Patch Antenna Array
Mohammad Haghpanah - Zahra Ghattan Kashani - Atefeh Khalili Param
Ultra-broadband and compact beamsplitters using subwavelength-grating-assisted zero gap directional couplers
Kamalodin Arik - Mahmood Akbari - Amin Khavasi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.2