scholarly journals ON/OFF switch control of smart home prototype using palm and fist hand gesture

2020 ◽  
Author(s):  
Duaa A. Taban ◽  
Ali Al-Zuky ◽  
Anwar H. Al-Saleh ◽  
Haidar J. Mohamad ◽  
Hazim G. Daway
Keyword(s):  
Smart Home ◽  
Hand Gesture ◽  
Switch Control

scholarly journals Smart Home Automation using Hand Gesture Recognition System

2019 ◽  
Vol 9 (2) ◽  
pp. 18-21
Keyword(s):  
Machine Learning ◽  
Gesture Recognition ◽  
Personal Computer ◽  
Smart Home ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Home Automation ◽  
Proof Of Concept ◽  
Visual Interpretation

Visual interpretation of hand gestures is a natural method of achieving Human-Computer Interaction (HCI). In this paper, we present an approach to setting up of a smart home where the appliances can be controlled by an implementation of a Hand Gesture Recognition System. More specifically, this recognition system uses Transfer learning, which is a technique of Machine Learning, to successfully distinguish between pre-trained gestures and identify them properly to control the appliances. The gestures are sequentially identified as commands which are used to actuate the appliances. The proof of concept is demonstrated by controlling a set of LEDs that represent the appliances, which are connected to an Arduino Uno Microcontroller, which in turn is connected to the personal computer where the actual gesture recognition is implemented

scholarly journals Hand Gesture Control Robot

2019 ◽  
Vol 9 (2) ◽  
pp. 2814-2818
Keyword(s):  
Hand Gesture ◽  
Hand Position ◽  
Medical Field ◽  
Industrial Robotics ◽  
Switch Control ◽  
Gesture Control ◽  
Acceleration Of Gravity

In this paper we have designed a basic robotic chassis which can be easily controlled with the help of accelerometer instead of using button control. Here the most significant device is accelerometer. The accelerometer is the 3 axis estimation gadget with +-3g range. This gadget is made by utilizing polysilicon surface sensor and signal controlling circuit to quantify acceleration. The outcome of the accelerometer is analog in nature and corresponding to the acceleration. This gadget measures the static acceleration of gravity when we tilt it. And gives an outcome in type of movement or vibration. The hand position is sensed and the coordinates generated is considered as the parameter and if neccessary conditions are met, the statement prescribed in the arduino code is executed and the direction of the robot chassis is changed accordingly. So that it can perform the task such as forward moving, backward moving, turning left, turning right and stop. In many cases, the robot devices are some tough and complex while we control it with the help of buttons and switches. The major fields that prefers hand gesture robots are Defence field, industrial robotics, vehicle part assemble in civil side, medical field for surgery. In these fields if we are using remote controls and the button, the task will become complex. Sometimes the operator may get confuse in the switch control and button control, so a new concept is used to manage the gadget with the motion of the hand and at the same time it will manage the motion of the device

scholarly journals Cross-Platform Android/iOS-Based Smart Switch Control Middleware in a Digital Home

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Guo Jie ◽  
Cheng Bo ◽  
Zhao Shuai ◽  
Chen Junliang
Keyword(s):  
Economic Development ◽  
Control System ◽  
Smart Home ◽  
Communication Protocols ◽  
Smart Phones ◽  
Control Software ◽  
Digital Home ◽  
Switch Control ◽  
Cross Platform ◽  
Key Aspects

With technological and economic development, people’s lives have been improved substantially, especially their home environments. One of the key aspects of these improvements is home intellectualization, whose core is the smart home control system. Furthermore, as smart phones have become increasingly popular, we can use them to control the home system through Wi-Fi, Bluetooth, and GSM. This means that control with phones is more convenient and fast and now becomes the primary terminal controller in the smart home. In this paper, we propose middleware for developing a cross-platform Android/iOS-based solution for smart switch control software, focus on the Wi-Fi based communication protocols between the cellphone and the smart switch, achieved a plugin-based smart switch function, defined and implemented the JavaScript interface, and then implemented the cross-platform Android/iOS-based smart switch control software; also the scenarios are illustrated. Finally, tests were performed after the completed realization of the smart switch control system.

Design and Application of Smart and Electrical Wheelchair and Charging Station for the Disabled Citizen

2020 ◽  
Vol 3 (1) ◽  
pp. 346-353
Author(s):  
Naim Suleyman Tinğ ◽  
Huseyin Ozel ◽  
Lokman Celik ◽  
Enes Ganidagli ◽  
Hilal Akkamis
Keyword(s):  
Smart Home ◽  
Touch Screen ◽  
Direct Access ◽  
Charging Station ◽  
The Disabled ◽  
Solar Powered ◽  
Home Technology ◽  
Smart Home Technology ◽  
Smart Wheelchair ◽  
Design And Application

In this paper, the design and application of smart wheelchair and charging station for disabled citizen is realized. The first stage of the paper is to make the wheelchair used by our disabled citizens able to access smart home technology via the vehicle via touch screen. The ability of citizens with disabilities to call with direct access via touch screen is also in the wheelchair designed. Thanks to the touch screen placed on the vehicle, disabled citizens are provided with the control of smart automation to control many objects such as curtains and doors in the home. In the second part of the paper, a solar powered charging station is designed and installed in order to charge battery powered wheelchairs. In the charging station made a special card reader system and has the charger to charge the card with disabilities to actively and means are provided.

FACTORS INFLUENCING THE ACCEPTANCE OF SMART HOME APPLICATIONS

2018 ◽  
Vol 2018 ◽  
pp. 67-67
Author(s):  
Marco Hubert ◽  
◽  
Markus Blut ◽  
Christian Brock ◽  
Ruby Wenjiao Zhang
Keyword(s):  
Smart Home ◽  
Factors Influencing
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