scholarly journals Design and implementation of children’s gesture education games based on AI gesture recognition technology

2022 ◽  
Vol 355 ◽  
pp. 03043
Author(s):  
Yushan Zhong ◽  
Yifan Jia ◽  
Liang Ma
Keyword(s):  
Gesture Recognition ◽  
Question Answering ◽  
Educational Games ◽  
Mobile Terminal ◽  
Popular Science ◽  
Character Animation ◽  
Development Platform ◽  
Cartoon Character ◽  
Recognition Function ◽  
Cartoon Characters

In order to cultivate children’s imagination and creativity in the cognitive process, combined with the traditional hand shadow game, a children’s gesture education game based on AI gesture recognition technology is designed and developed. The game uses unity development platform, with children’s digital gesture recognition as the content, designs and implements the basic functions involved in the game, including AI gesture recognition function, character animation function, interface interaction function, AR photo taking function and question answering system function. The game is finally released on the mobile terminal. Players can recognize gestures through mobile cameras, interact with virtual cartoon characters in the game, watch cartoon character animation, understand popular science knowledge, and complete the answers in the game. The educational games can better assist children to learn digital gestures, enrich children’s ways of cognition, expand children’s imagination, and let children learn easily with happy educational games.

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

Design of Monitoring Alarm System Based on GPRS MMS

2014 ◽  
Vol 1049-1050 ◽  
pp. 2149-2152 ◽  
Author(s):  
Yong Qi Han ◽  
Li Ma ◽  
Hong Liang Guo
Keyword(s):  
Mobile Terminal ◽  
Modern Technology ◽  
System Structure ◽  
Alarm System ◽  
Embedded Processor ◽  
Development Platform ◽  
System Protection ◽  
Pyroelectric Sensor ◽  
Sensor Module ◽  
Processing Control

This system based on embedded technology, MMS wireless communication, etc. Various kinds of modern technology, design a kind of based on GPRS MMS remote monitoring alarm system, this system chooses LPC2132 chip as embedded processor, serial ports, camera, GPRS and infrared pyroelectric sensor module and other hardware. Main funtions as follows: when someone illegally broken into specific space abnormal happens, infrared pyroelectric sensor embedded processor immediately trigger caused disruption, the camera automatically shooting scene image, and transferred to the embedded processor module, embedded processor calls AT instructions through GPRS networks will the collected pictures sent to specify users mobile phone. Users can call or send messages to the system for pictures, but also through the mobile terminal control the system protection and removal. System software embedded in part using development platform ADS development, the key technology was embedded processor interrupt trigger, user instruction processing, control the acquisition and sending MMS etc. This paper analyses the working principle, AT GPRS directive system structure of use, embedded in space, thus realize user of real-time monitoring and alarm.

scholarly journals Protection of Animated Cartoon Character: Copyright or Trademark?

2021 ◽  
Vol 10 (3) ◽  
pp. 446
Author(s):  
I Gusti Ngurah Bayu Satriawan ◽  
Marwanto Marwanto
Keyword(s):  
Copyright Protection ◽  
Legal Protection ◽  
Copyright Law ◽  
Legal Research ◽  
Trademark Law ◽  
Animated Cartoon ◽  
Cartoon Character ◽  
Animated Film ◽  
Cartoon Characters ◽  
Analytical Approaches

Animated cartoon character is a character created or depicted in an animated story with the aim of supporting the story in an animated film. Currently, many children's clothes, bags, shoes or accessories include animated pictures from cartoons with the aim of attracting buyers' attention to increase sales of these products. The purpose of this writing is to identify, analyse and elaborate legal protections for animated cartoon characters based on the provisions in the copyright law, as well as legal protection for animated cartoon characters used as brands. This was normative legal research using a statutory, conceptual and analytical approaches. Animated cartoon characters as one of the objects of copyright protection, namely images, receive automatic protection based on the Copyright Law and can also be registered as Trademarks, as long as the image has distinctive power and has no similarity in substantial or in its entirety. However, if any parties who intend to use the animated cartoon characters that already classified as a well-known trademark, that party can propose a License to the owner of the trademark as regulated under the provision of Article 42 paragraph (1) of Trademark Law

Detecting protagonists and antagonists in the voice quality of American cartoon characters: a quantitative LTAS-based analysis

Phonetica ◽  
2021 ◽  
Vol 78 (4) ◽  
pp. 345-384
Author(s):  
Ke Hui Tong ◽  
Scott Reid Moisik
Keyword(s):  
A Priori ◽  
Voice Quality ◽  
Principal Component ◽  
Acoustic Properties ◽  
Support Vector ◽  
Cartoon Character ◽  
Quantitative Examination ◽  
The Difference ◽  
Cartoon Characters ◽  
Dominance Pattern

Abstract The voices of heroes and villains in cartoons contribute to their uniqueness and helps shape how we perceive them. However, not much research has looked at the acoustic properties of character voices and the possible contributions these have to cartoon character archetypes. We present a quantitative examination of how voice quality distinguishes between characters based on their alignment as either protagonists or antagonists, performing Principal Component Analysis (PCA) on the Long-term Average Spectra (LTAS) of concatenated passages of the speech of various characters obtained from four different animated cartoons. We then assessed if the categories of “protagonists” and “antagonists” (determined via an a priori classification) could be distinguished using a classification algorithm, and if so, what acoustic characteristics could help distinguish the two categories. The overall results support the idea that protagonists and antagonists can be distinguished by their voice qualities. Support Vector Machine (SVM) analysis yielded an average classification accuracy of 96% across the cartoons. Visualisation of the spectral traits constituting the difference did not yield consistent results but reveals a low-versus-high frequency energy dominance pattern segregating antagonists and protagonists. Future studies can look into how other variables might be confounded with voice quality in distinguishing between these categories.

scholarly journals Mobile terminal gesture recognition based on improved FAST corner detection

2019 ◽  
Vol 13 (6) ◽  
pp. 991-997 ◽  
Author(s):  
Chengfeng Jian ◽  
Xiaoyu Xiang ◽  
Meiyu Zhang
Keyword(s):  
Gesture Recognition ◽  
Mobile Terminal ◽  
Corner Detection

scholarly journals Smart electronic skin having gesture recognition function by LSTM neural network

2018 ◽  
Vol 113 (8) ◽  
pp. 084102 ◽  
Author(s):  
G. Y. Liu ◽  
D. Y. Kong ◽  
S. G. Hu ◽  
Q. Yu ◽  
Z. Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Gesture Recognition ◽  
Electronic Skin ◽  
Recognition Function

scholarly journals Gesture Recognition for Educational Games: Magic Touch Math

2017 ◽  
Vol 226 ◽  
pp. 012078
Author(s):  
Neo Wen Kye ◽  
Aida Mustapha ◽  
Noor Azah Samsudin
Keyword(s):  
Gesture Recognition ◽  
Educational Games

scholarly journals Intelligent textiles: designing a gesture-controlled illuminated textile based on computer vision

2021 ◽  
pp. 004051752110342
Author(s):  
Jeanne Tan ◽  
Li Shao ◽  
Ngan Yi Kitty Lam ◽  
Anne Toomey ◽  
Lan Ge
Keyword(s):  
Computer Vision ◽  
Open Source ◽  
Gesture Recognition ◽  
Design Method ◽  
Stripe Pattern ◽  
Textile Design ◽  
Weave Structure ◽  
Recognition Function ◽  
Intelligent Technology ◽  
Novel Design

Artificial intelligence (AI) offers the potential for the development of e-textiles that give wearers a smart and intuitive experience. An emerging challenge in intelligent materials design is hand gesture recognition textiles. Most current research focuses on number gesture recognition via smart gloves, so there is a gap in research that studies contact-less number gesture recognition textiles via computer vision. Meanwhile, there is lack of exploration on the integration of illuminating function and number gesture recognition textiles to improve interactivity by real-time visualizing detection results. In this research, a novel interactive illuminating textile with a touch-less number gesture recognition function has been designed and fabricated by using an open-source AI model. It is used in sync with a polymeric optical fiber textile with illuminative features. The textile is color-changing, controlled by the system's mid-air interactive number gesture recognition capability and has a woven stripe pattern and a double-layer weave structure with open pockets to facilitate integration of the system's components. Also described here is a novel design process that permits textile design and intelligent technology to integrate seamlessly and in synchronization, so that design in effect mediates continuously between the physical textile and the intangible technology. Moreover, this design method serves as a reference for the integration of open-source intelligent hardware and software into e-textiles for enhancement of the intuitive function and value via economy of labor.

Sign in / Sign up

Export Citation Format

Share Document