scholarly journals A Low Cost Kiosk for Student Learning of Human Machine Interface (HMI)

2020 ◽  
Author(s):  
Larry Himes
Keyword(s):  
Student Learning ◽  
Low Cost ◽  
Human Machine Interface ◽  
Machine Interface

Design of Human Machine Interface Based on ARM and Linux

2012 ◽  
Vol 241-244 ◽  
pp. 2714-2717
Author(s):  
Kun Zhang ◽  
Xi Wei Peng
Keyword(s):  
Low Cost ◽  
Hardware Design ◽  
Control Unit ◽  
Embedded Linux ◽  
Human Machine Interface ◽  
Device Drivers ◽  
Machine Interface ◽  
Micro Control Unit

In order to provide more convenient options for users and developers, the design of Human Machine Interface (HMI) based on ARM and embedded Linux is put forward. It makes full use of multiple peripherals of ARM and flexibility of Linux OS. Firstly, hardware design of the HMI system is presented. Then methods of embedded Linux transplanting and the device drivers programming are discussed. Finally, running results and applications of the designed HMI are considered. The design combines the features of traditional HMI and Micro Control Unit (MCU) HMI, including low cost, rich interfaces and easy programming.

KOMEKAMI Switch: A Novel Wearable Input Device Using Movement of Temple

2008 ◽  
Vol 20 (2) ◽  
pp. 260-272 ◽  
Author(s):  
Kazuhiro Taniguchi ◽  
◽  
Atsushi Nishikawa ◽  
Seiichiro Kawanishi ◽  
Fumio Miyazaki
Keyword(s):  
Low Cost ◽  
Wearable Computing ◽  
Computing System ◽  
Human Machine Interface ◽  
Input Device ◽  
Single Chip ◽  
Leading Role ◽  
Optical Distance ◽  
Machine Interface ◽  
Manual Manipulation

A wearable computing system plays a leading role in the ubiquitous computing era, in which computers are used at any place and at any time. Now the mobile multimedia communication technology based devices, such as mobile phone, handy-type PC, etc., have come to be used in such a broad range of areas, the features of wearable hands-free computing system, which people can constantly use in their daily life or workplace while doing some other job, are highly valued more than ever. However, the wearable computing system has not yet spread so widely owing to various factors. Among such factors is the delay in the development of human machine interface, which is applicable to the wearable computing system. Conventional technologies that require either manual manipulation of keyboard, mouse, touch panel, etc., or a large equipment to make use of electroencephalogram, eyeball movements, etc. for realizing hands-free interface, are not suitable for the wearable computing system. We, therefore, developed a human-machine interface for the wearable computing system. This interface makes it easy to manipulate machine with intentional movements of temple. User can constantly use machine with no interference, as well as with hands free. It is compact and lightweight, permitting ease of manufacturing at a low cost. It does not react to daily actions like conversation, diet, etc., other than movements intended to control the machine. This interface consists of one optical distance sensor mounted in the vicinity of the left and right temples each and of one single-chip microcomputer.

Design of DSP-Based Automatic Seam Tracking Underwater System

2014 ◽  
Vol 644-650 ◽  
pp. 845-848
Author(s):  
Fu Yang ◽  
Wen Ming Zhang ◽  
Wan Cai Jiao
Keyword(s):  
Tracking System ◽  
Low Cost ◽  
Human Machine Interface ◽  
Seam Tracking ◽  
Welding Seam ◽  
Automatic Tracking ◽  
Underwater Welding ◽  
Effect Of Water ◽  
Machine Interface ◽  
Hardware Structure

It is high difficult to control the underwater welding because of the effect of water and the leak proofness of the weld devices which is a troubling problem. In this paper, a DSP-based automatic seam tracking system for underwater welding is designed. This system has the advantages of simple hardware structure, low-cost, rich function software, friendly human-machine interface, and easily realizing. And the work of this paper can be used for further research in underwater welding seam automatic tracking.

scholarly journals A YOLOv2 Convolutional Neural Network-Based Human–Machine Interface for the Control of Assistive Robotic Manipulators

2019 ◽  
Vol 9 (11) ◽  
pp. 2243
Author(s):  
Gianluca Giuffrida ◽  
Gabriele Meoni ◽  
Luca Fanucci
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Low Cost ◽  
Test Procedure ◽  
Target Position ◽  
Video Stream ◽  
Human Machine Interface ◽  
Position Information ◽  
Machine Interface ◽  
Feedback Algorithm

During the last years, the mobility of people with upper limb disabilities and constrained on power wheelchairs is empowered by robotic arms. Nowadays, even though modern manipulators offer a high number of functionalities, some users cannot exploit all those potentialities due to their reduced manual skills, even if capable of driving the wheelchair by means of proper Human–Machine Interface (HMI). Owing to that, this work proposes a low-cost manipulator realizing only simple tasks and controllable by three different graphical HMI. The latter are empowered using a You Only Look Once (YOLO) v2 Convolutional Neural Network that analyzes the video stream generated by a camera placed on the robotic arm end-effector and recognizes the objects with which the user can interact. Such objects are shown to the user in the HMI surrounded by a bounding box. When the user selects one of the recognized objects, the target position information is exploited by an automatic close-feedback algorithm which leads the manipulator to automatically perform the desired task. A test procedure showed that the accuracy in reaching the desired target is 78%. The produced HMIs were appreciated by different user categories, obtaining a mean score of 8.13/10.

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