Gesture Recognition for Improved User Experience in a Smart Environment

2013 ◽  
pp. 493-504 ◽  
Author(s):  
Salvatore Gaglio ◽  
Giuseppe Lo Re ◽  
Marco Morana ◽  
Marco Ortolani
Keyword(s):  
User Experience ◽  
Gesture Recognition ◽  
Smart Environment

Approaches and Applications of Virtual Reality and Gesture Recognition

2018 ◽  
pp. 180-199
Author(s):  
Sudha M. R. ◽  
Sriraghav K. ◽  
Sudar Abisheck S. ◽  
Shomona Gracia Jacob ◽  
Manisha S.
Keyword(s):  
Virtual Reality ◽  
User Experience ◽  
Gesture Recognition ◽  
Input Devices

Interaction with a computer has been the center of innovation ever since the advent of input devices. From simple punch cards to keyboards, there are number of novel ways of interaction with computers which influence the user experience. Communicating using gestures is perhaps one of the most natural ways of interaction. Gesture recognition as a tool for interpreting signs constitutes a pivotal area in gesture recognition research where accuracy of the algorithm and the ease of usability determine the effectiveness of the algorithm or system. Introducing gesture based interaction in Virtual reality applications has not only helped solve problems which were commonly reported in traditional Virtual Reality systems, but also gives user a more natural and enriching experience. This paper concentrates on comparison of different systems and identifying their similarities, differences, advantages and demerits which can play a key role in designing a system using such technologies.

scholarly journals Hand Gesture Recognition System in Smart Environment

2020 ◽  
Vol 9 (1) ◽  
pp. 2194-2199
Keyword(s):  
Radio Frequency ◽  
Gesture Recognition ◽  
Cost Effective ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Interactive System ◽  
Hand Gesture ◽  
Smart Environment ◽  
Triaxial Accelerometer ◽  
Mems Accelerometer

The smart environment allows users to interact effortlessly with their immediate surroundings using embedded sensors, displays, and computing devices. This system will not only be useful for ordinary people with no disabilities but also for people with disabilities like vision disability, cognitive, psychological and etc. Hand Gesture Recognition opens up a lot of possibilities for IoT based projects. At the end of the project, the goal is to design a cost-effective and highly interactive system through which a user can control the electric home appliances through hand gestures. This is a wireless device that is used to manipulate various devices using finger movement. The proposed device incorporates a transmitter connected to the MEMS accelerometer which detects movement warnings and transmits signals wirelessly using the radio frequency radio module (Zig Bee). The gesture alert which is input to the system is transmitted and obtained wirelessly using a wi-fi radio frequency module (ZigBee). The instrument contains a triaxial accelerometer, a microprocessor, and a ZigBee wi-fi transmission module. Acceleration warnings measured by the triaxial accelerometer are sent to a receiver via the ZigBee Wi-Fi module

scholarly journals Vision-Based Hand Gesture Recognition Techniques using Smartphones

2020 ◽  
Vol 9 (9) ◽  
pp. 85-90
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Mobile Devices ◽  
User Experience ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
The Past ◽  
Computational Performance ◽  
Camera Module

In the past few years, the computational performance of smartphone devices has seen tremendous growth. Due to which the smartphone has become a suitable platform for various computer-vision based applications which earlier was not possible. In this paper, we study various methods through which we can achieve computer vision-based hand gesture recognition natively on smartphones. If smartphones can support hand gesture recognition it can provide a new way to interact with mobile devices and overcome the hurdles of voice and touch-based user interface improving the user experience at the same time also supports other gesture-based applications. The techniques we study are mainly vision-based since camera module is present on most of the smartphones and it does not require other additional sensors or other hardware. We have compared the various methods available based on algorithms used and corresponding accuracy.

Approaches and Applications of Virtual Reality and Gesture Recognition

2017 ◽  
Vol 8 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Sudha M R ◽  
Sriraghav K ◽  
Sudar Abisheck S ◽  
Shomona Gracia Jacob ◽  
Manisha S
Keyword(s):  
Virtual Reality ◽  
User Experience ◽  
Gesture Recognition ◽  
Input Devices

Interaction with a computer has been the center of innovation ever since the advent of input devices. From simple punch cards to keyboards, there are number of novel ways of interaction with computers which influence the user experience. Communicating using gestures is perhaps one of the most natural ways of interaction. Gesture recognition as a tool for interpreting signs constitutes a pivotal area in gesture recognition research where accuracy of the algorithm and the ease of usability determine the effectiveness of the algorithm or system. Introducing gesture based interaction in Virtual reality applications has not only helped solve problems which were commonly reported in traditional Virtual Reality systems, but also gives user a more natural and enriching experience. This paper concentrates on comparison of different systems and identifying their similarities, differences, advantages and demerits which can play a key role in designing a system using such technologies.

scholarly journals Human Gesture Recognition Technology Based on User Experience for Multimedia Contents Control

2012 ◽  
Vol 15 (10) ◽  
pp. 1196-1204 ◽  
Author(s):  
Yun-Sik Kim ◽  
Sang-Yun Park ◽  
Soo-Yol Ok ◽  
Suk-Hwan Lee ◽  
Eung-Joo Lee
Keyword(s):  
User Experience ◽  
Gesture Recognition ◽  
Multimedia Contents

Assessing User Experience with Crutch Use

2011 ◽  
Author(s):  
Christina Harrington ◽  
Sharon Joines
Keyword(s):  
User Experience

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

Mobile Robot Operation by Gesture Recognition using Iterative Motion

2015 ◽  
Vol 135 (8) ◽  
pp. 944-953 ◽  
Author(s):  
Kazuki Tanaka ◽  
Hiroyuki Ukida
Keyword(s):  
Mobile Robot ◽  
Gesture Recognition
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