کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Environment Recognition for Controlling Lower-Limb Exoskeletons, by Computer Vision and Deep Learning Algorithm

نویسندگان :

Marzie Khalili¹ Sadjaad Ozgoli²

1- دانشگاه تربیت مدرس 2- دانشگاه تربیت مدرس

کلمات کلیدی :

computer vision, deep learning, exoskeleton, environment recognition, rehabilitation, VGG16 model

چکیده :

Nowadays, there are millions of people with movement disabilities around the world. In recent decades, robotic devices like exoskeletons have been designed for helping such people. Designing an advanced control system for these devices became a challenge for engineers. Most of the exoskeletons and leg prostheses switch between different locomotion modes manually, and it causes some demanding and has some troubles. Environment recognition is essential to achieve an ideal automatic control system for exoskeletons and leg prostheses. The author used the ExoNet dataset and sampled it down to 30000 RGB images in this paper. Then, three environment modes are manually labeled for classification, consisting of incline stairs, decline stairs, and level ground walking. A VGG16 convolutional neural network is used for training the network. The model achieved 96.24% accuracy for image classification.

لیست مقالات

لیست مقالات بایگانی شده

کنترل دوشاخگی و آشوب در مبدل بوست کنترل کننده مد جریان

نجمه زمانی

Selection of Least Error Wavelet Function for Typical Fault Diagnosis in HVDC Transmission System

Reza Tarighi - Mohammad Hosein Kazemi - Esmail Zarezadeh

OPC UA Over TSN (Time Sensitive Network) for Vertical and Machine to Machine Communication

Abdollah Moshiri - Ali Mohammad Afshin Hemmatyar

Detection and Estimation of Fault on Planar Cable-Driven Parallel Robot: SDRE Approach

Hanie Marufkhani - Alireza Gholipour - Mohammad A. Khosravi

A new robust control for mobile robots with differential wheels:output- and state- dependent Riccati equation approach

Neda Nasiri - Ahmad Fakharian - Mohammad Bagher Menhaj

Robust Fuzzy Observer-Based Speed Control of Electric Vehicle with Unmeasurable Premise Variables

Zeinab Echreshavi - Mokhtar Shasadeghi - Mohammad Hassan Asemani

Analysis and design of the detection and control system of authorized and unauthorized users using Internet of Things and machine learning

Negar Sarshar - Ali Nasiri

A New Fuzzy Logic Based Learning Rate Scheduling Method for Crop Classification With Convolutional Neural Network

Mohammad Hoseinzadeh - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi

طراحی و ساخت دستگاه جایگذاری پالت با رویکرد اتوماسیون سازی انتهای خطوط تولید

محمدهادی کلائی - امیر تذکاری - مرتضی سیاح ایرانی - سید کمال حسینی ثانی

D-Stability Analysis for Tuning Fractional-Order PI Controller

Mohammad Tavazoei - Mohammad Hassan Asemani

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.8