IMU Action Recognition Based on Machine Learning

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Machine learning based Visual Evoked Potential (VEP) Signals Recognition

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

متن کامل

Machine Learning for Continuous Human Action Recognition

In this term project, we consider the problem of automatic recognition of continuous human activity. Our source data are short videos with RGB and depth information of seven predefined categories of human action as well as long videos that contain a series of continuous actions. By extracting frame-level features that represent each action and are invariant to small environmental noise, we trai...

متن کامل

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine

In this paper, we employ multiple Single-hidden Layer Feedforward Neural Networks for multi-view action recognition. We propose an extension of the Extreme Learning Machine algorithm that is able to exploit multiple action representations and scatter information in the corresponding ELM spaces for the calculation of the networks’ parameters and the determination of optimized network combination...

متن کامل

Multi-view Regularized Extreme Learning Machine for Human Action Recognition

In this paper, we propose an extension of the ELM algorithm that is able to exploit multiple action representations. This is achieved by incorporating proper regularization terms in the ELM optimization problem. In order to determine both optimized network weights and action representation combination weights, we propose an iterative optimization process. The proposed algorithm has been evaluat...

متن کامل

Extreme Learning Machine for Large-Scale Action Recognition

In this paper, we describe the method we applied for the action recognition task on the THUMOS 2014 challenge dataset. We study human action recognition in RGB videos through low-level features by focusing on improved trajectory features that are densely extracted from the spatio-temporal volume. We represent each video with Fisher vector encoding and additional mid-level feautures. Finally, we...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Electronic Research and Application

سال: 2020

ISSN: 2208-3510,2208-3502

DOI: 10.26689/jera.v3i6.1063