scholarly journals Personalized Motion Sensor Driven Gesture Recognition in the FIWARE Cloud Platform

2015 ◽  
Author(s):  
Alexandros Preventis ◽  
Kostas Stravoskoufos ◽  
Stelios Sotiriadis ◽  
Euripides G.M. Petrakis
Keyword(s):  
Gesture Recognition ◽  
Motion Sensor ◽  
Cloud Platform

Development of Robotic Arm Through Hand Gesture Recognition Using Leap Motion Sensor

2020 ◽  
Vol 17 (4) ◽  
pp. 1889-1893
Author(s):  
T. Archana ◽  
Srigitha S. Nath ◽  
S. Praveenkumar
Keyword(s):  
Gesture Recognition ◽  
Control Strategy ◽  
Low Cost ◽  
Hand Gesture Recognition ◽  
Robotic Arm ◽  
Hand Gesture ◽  
Motion Sensor ◽  
Leap Motion ◽  
Control Techniques ◽  
Natural Movement

The objective of this paper has been the development of a prototype of articulated Robotic arm and implementation of a control strategy for gesture recognition through (Leap motion sensor), by means the natural movement of the fore-arm and hand. The series of advances relative to the control techniques have caused that the robotics it has also introduced as an educational and complement in obligatory basic teachings. To develop and to control Robotic elements locally or remotely, it has always proven to be a clear example of additional motivation. The prototype developed has exceeded the initial expectations and at low cost.

Motion-sensor fusion-based gesture recognition and its VLSI architecture design for mobile devices

2013 ◽  
Vol 101 (5) ◽  
pp. 621-635 ◽  
Author(s):  
Wenping Zhu ◽  
Leibo Liu ◽  
Shouyi Yin ◽  
Siqi Hu ◽  
Eugene Y. Tang ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Sensor Fusion ◽  
Gesture Recognition ◽  
Vlsi Architecture ◽  
Motion Sensor ◽  
Architecture Design

scholarly journals Perspective and Evolution of Gesture Recognition for Sign Language: A Review

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3571
Author(s):  
Jesús Galván-Ruiz ◽  
Carlos M. Travieso-González ◽  
Acaymo Tejera-Fettmilch ◽  
Alejandro Pinan-Roescher ◽  
Luis Esteban-Hernández ◽  
...  
Keyword(s):  
Sign Language ◽  
Gesture Recognition ◽  
Good Option ◽  
Motion Sensor ◽  
Leap Motion ◽  
Different Types ◽  
Recognition Systems ◽  
3D Information

This review analyses the different gesture recognition systems through a timeline, showing the different types of technology, and specifying which are the most important features and their achieved recognition rates. At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language. This device has many positive characteristics that make it a good option for sign language. One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification.

Real-Time Numerical Gesture Recognition Using MPU9250 Motion Sensor

2021 ◽  
pp. 39-55
Author(s):  
Sathish Raja Bommannan ◽  
Chennuru Vineeth ◽  
Mylavarapu Uma Hema Sri ◽  
Boyanapalli Sri Vidya ◽  
S. Vidhya
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Motion Sensor

Research on Gesture Recognition and Denoising Technology of Electronic Information Teaching Demonstration Based on Kinect V2

2021 ◽  
Vol 7 (5) ◽  
pp. 4133-4143
Author(s):  
Hongyu Yu ◽  
Yuefeng Li ◽  
Xingjian Jiang
Keyword(s):  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Depth Information ◽  
Motion Sensor ◽  
Kinect Sensor ◽  
Electronic Information ◽  
Denoising Method ◽  
Kinect V2 ◽  
Dynamic Recognition ◽  
Computer Interaction

Motion sensor is a kind of sensor which is commonly used in the field of human-computer interaction. This article uses Microsoft’s Kinect sensor to get in-depth information about gesture recognition in electronic instructional demonstrations. Here, we present the Kinect V2 sensor for use in demonstrating gesture capture and recognition in electronic information instruction. In this study, depth information is used to dynamically capture electronic information teaching demonstrative gestures. In addition, a combined denoising method is also proposed, which can effectively remove the interference and noise compared with the single denoising method. Then, the researchers programmed and moved the dynamic recognition of demonstrative gestures in electronic information instruction. Compared with some traditional denoising methods, the combined denoising method can effectively remove the blur and boundary burr. This study can be applied to the field of human-computer interaction in electronic information teaching to further improve the accuracy of information.

Numeral Gesture Recognition Using Leap Motion Sensor

2015 ◽  
Author(s):  
Jayash Kumar Sharma ◽  
Rajeev Gupta ◽  
Vinay Kumar Pathak
Keyword(s):  
Gesture Recognition ◽  
Motion Sensor ◽  
Leap Motion

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Customized Gesture Recognition for Educational Games

2016 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Seong Jeong ◽  
HongJun Ju ◽  
Hyo-Rim Choi ◽  
TaeYong Kim
Keyword(s):  
Gesture Recognition ◽  
Educational Games

Evaluation for Effectiveness of Individual Lighting Control using Image-based Motion Sensor

2018 ◽  
Vol 138 (11) ◽  
pp. 1362-1374 ◽  
Author(s):  
Takuya Futagami ◽  
Toru Yano ◽  
Chingchun Huang ◽  
Takaaki Enohara
Keyword(s):  
Motion Sensor ◽  
Lighting Control
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