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 Highly-Linear Wideband Differential Low-Noise Amplifier Using Derivative Superposition Technique
Abolfazl Rajaiyan - Mehdi Saberi
Kickback noise reduction and offset cancellation technique for dynamic latch comparator
Mansoure Yousefirad - Mohammad Yavari
A Novel PM-Assisted Linear Switched Reluctance Motor
Matin Vatani - Mojtaba Mirsalim - Javad Shokrollahi Moghani
Multi-agent H-Learning Based Cooperative Spectrum Sensing for Cognitive Radio Networks
Elaheh Karimpour Fard - Mahdi Nouri - Hamid Behroozi - Sima Sobhi-Givi
Selecting the Economical Energy Storage System for Photovoltaic Power Plants
Zahra Moradi-Shahrbabak
Unsupervised Change Detection in SAR Images Using a Six-Branch CNN and Adaptive Window Approach
Abbas Kakoolvand - Maryam Imani - Hassan Ghassemian
شبیه سازی یک حسگر با استفاده از یک میکرو تشدیدگر اویلری
مریم دهقانیان - محسن حاتمی
Alternative Detectors for Spectrum Sensing by Exploiting Excess Bandwidth
Sirvan Gharib - Abolfazl Falahati - Vahid Ahmadi
A Low-Cost Linearized Analog Resolver-To-DC Converter
Seyed Ali Samareh-TaheriNasab - Mohammad Sadegh KhajueeZadeh - Zahra Nasiri-Gheeidari - Samad Sheikhaei
بازسازی تصویر با معکوس کردن شبکه GAN
علی مجلسی کوپائی - سعید باقری شورکی - احمد شعبانی
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2