Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals

نویسندگان
چکیده

برای دانلود رایگان 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

Online Finger Gesture Recognition Using Surface Electromyography Signals

The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper. Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features. And then, the probabilistic neural network was utilized to classify the proposed ge...

متن کامل

Estimation of a Cubital Joint Torque Using Surface Electromyogram Signals

This work focuses on the development of a wearable power-assisted orthosis for nursing care as a health care device to reduce the physical burden on carers. The most important aspect of developing a power-assisted orthosis is that it reflects the orthosis wearer’s intentions, coordinating with the wearer’s voluntary movements. To realize this intention, our work focuses on a torque around a cub...

متن کامل

Review of surface electrode placement for recording electromyography signals

Background: Surface Electromyography (SEMG) signal has used in monitoring muscle activities. It has been widely applied in many areas, such as body member prosthesis, noise cancellation for braincomputer interface, and robotics. The SEMG acquisition method for collecting the signal with low-noise has extensively investigated in the last decade. The objective of this study is to review the recen...

متن کامل

Hand Motion Classification Using a Multi-Channel Surface Electromyography Sensor

The human hand has multiple degrees of freedom (DOF) for achieving high-dexterity motions. Identifying and replicating human hand motions are necessary to perform precise and delicate operations in many applications, such as haptic applications. Surface electromyography (sEMG) sensors are a low-cost method for identifying hand motions, in addition to the conventional methods that use data glove...

متن کامل

A Multi-scale CNN for Affordance Segmentation in RGB Images

Given a single RGB image our goal is to label every pixel with an affordance type. By affordance, we mean an object’s capability to readily support a certain human action, without requiring precursor actions. We focus on segmenting the following five affordance types in indoor scenes: ‘walkable’, ‘sittable’, ‘lyable’, ‘reachable’, and ‘movable’. Our approach uses a deep architecture, consisting...

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: Sensors

سال: 2020

ISSN: 1424-8220

DOI: 10.3390/s20154213