Smart control joypad based on natural-contact sensor

MO Fei1; YANG Guo-sheng3; LIN Ying-zi4; CHEN Li2; ZHANG Wen-jun2; JIN Gui1

doi:10.13873/j.1000-97872011.09.037

Chinese

您当前的位置：

首页 >

文章列表页 >

Smart control joypad based on natural-contact sensor

更新时间：2025-09-11

- Smart control joypad based on natural-contact sensor
- Vol. 30, Issue 9, Pages: 91-94(2011)
- 作者机构：
  
  1. 华东理工大学机械与动力工程学院
  2. 中央民族大学信息工程学院
  3. 美国东北大学机械与工业工程学院
  4. 加拿大萨斯喀彻温大学工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.09.037
  CLC： TP212
- Published：2011
- 稿件说明：
移动端阅览
[1]莫沸,杨国胜,林英姿,陈力,章文俊,金圭.基于自然接触传感器的智能控制手柄[J].传感器与微系统,2011,30(09):91-94.

MO Fei1, YANG Guo-sheng3, LIN Ying-zi4, et al. Smart control joypad based on natural-contact sensor[J]. 2011, 30(9): 91-94.
[1]莫沸,杨国胜,林英姿,陈力,章文俊,金圭.基于自然接触传感器的智能控制手柄[J].传感器与微系统,2011,30(09):91-94. DOI： 10.13873/j.1000-97872011.09.037.

MO Fei1, YANG Guo-sheng3, LIN Ying-zi4, et al. Smart control joypad based on natural-contact sensor[J]. 2011, 30(9): 91-94. DOI： 10.13873/j.1000-97872011.09.037.

摘要

研究开发了一种用于控制手柄的自然接触传感器组。该传感器组能够实时地测量皮肤血流容积、皮肤导电性、皮肤温度和握力等人体生理信号

同时不会改变和打扰人原来的工作状态。传感器的设计是基于自然接触理念

通过包覆的方式安置到控制手柄上

以保证人和传感器的自然接触

包覆有此类传感器的手柄称为智能控制手柄

实验结果显示智能控制手柄具有良好的前景。

Abstract

A group of sensors used for measuring human physiological signals in a non-intrusive and real-time manner for the applications where humans operate joypad to perform tasks is researched and developed.The group of sensors can be used to measure the following signals:blood volume pulse（BVP）

skin conductance（SC）

skin temperature（ST）

and gripping force（GF）.The sensors are developed based on the natural-contact paradigm for biosensors and wrapped up on the joypad.Such joypads are called smart joypads.A preliminary test of the smart joypad has shown a great promise of them.

关键词

Keywords

references

Views

111

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Non-contact emotion recognition based on FMCW radar

Research progress on feature parameters of speech emotion recognition

Related Author

LI Zongfa

MIAO Yubin

LI Jie1

ZHOU Ping2

Related Institution

School of Mechanical Engineering,Shanghai Jiao Tong University

School of Computer Science and Engineering,Guilin University of Electronic Technology

School of Electric Engineering and Automation,Guilin University of Electronic Technology

⁰