sigma

2018 Electronic Competition Question D-Gesture Recognition Device (First Prize in Hebei Province)

Outstanding works of e-sports competition in 2018

 
Overview
In response to the rapid development of science and technology, the development of human-computer interaction systems has become a research hotspot in today's society, and the key part of this lies in the collection of data information and data processing technology. This design is a gesture recognition device based on the FDC2214 four-channel capacitive sensor. The STMf103 minimum system board is used as the core controller, and IIC communication is used for data transmission between the MCU, FDC2214, and OLED screens. The training and judgment of gestures are completed within 30 seconds through program control, and the current judgment results and gesture status are displayed on the OLED screen. The accuracy rate is as high as 91%.
 
 
Search Datasheet?

Supported by EEWorld Datasheet

Forum More
Update:2025-06-19 21:02:12

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
community

Robot
development
community

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京ICP证060456号 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号