Significance of Hand Gesture Recognition Systems in Vehicular Automation-A Survey

The number of elderly and disabled people worldwide has increased and their day-today activities depend on others' help. Improving the quality of life of these people has become the most important responsibility of society and it is the role of technology specialists to make their life as normal as possible and easy so that they can do their day-today activities at the right time without othersʼ help. Many researchers have proposed several solutions, but they have limitations such as poor performance and usability. In this paper, we propose a smart wirelessbased wheelchair system that completely controls the motion of a wheelchair wirelessly through hand movements to help partially quadriplegic people to perform their daily activities easily. In the proposed approach, sensors with relevant materials and technologies have been integrated with microcontrollers to capture hand movement signals and process them to the fully control the wheelchair wirelessly. An accumulator sensor is placed on the user's hand to acquire the directions of hand movements and translate them into movement commands using an Arduino microcontroller that is directly connected to the wheelchair and moves it. The proposed system has been simulated, and the obtained results show the effectiveness of the proposed system and its applicability for use by most physically disabled persons.

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“…Another approach that uses wearable hand gloves to capture hand movement to control a wheelchair has been proposed in Ref. 23. In Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

A Smart-hand Movement-based System to Control a Wheelchair Wirelessly

Al‐Wesabi¹,

Alamgeer²,

Al-Yarimi³

et al. 2019

Sensors and Materials

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“…In automotive domain the research proposals have emphasized on design of gesture interface considering the driver as its prominent user [13][14][15][16][17]. The major issues encountered in this scenario are as follows:…”

Section: Introductionmentioning

confidence: 99%

Hand Gesture Interface based on Skin Detection Technique for Automotive Infotainment System

Buddhikot¹,

Commerce²,

Kulkarni³

et al. 2018

IJIGSP

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The infotainment systems are acquiring wide popularity in automotive domain. These systems are manually operated and require physical contact for interaction. In the present scenario the consumers are demanding a smart phone like experience from the vehicle's console unit. Thus, there is a wide scope for enhancing the mode of interaction and introducing a touch less interface system. The gesture interface approach is a new possibility in this domain. In this method the skin detection plays an important role in segmenting hand region. There are various approaches for hand detection based on skin region identification. The fundamental challenge in skin detection lies in various factors such as illumination, background, camera characteristics, and ethnicity. The gesture detection in automotive environment is further challenging task due to significant impact of wide variation in light, continuous changing background and hindrance caused by vehicle movement. In the present work, design of hand gesture interface for rear seat passenger is discussed. The interface is developed to interact with media player application of infotainment system based on efficient skin detection technique. The objectives of work include study of various skin color modeling, analysis of combination of color spaces, study of hand feature extraction and recognition techniques, design of lab setup for experimentation, implementing gesture interface to access media player application of an infotainment system. The developed prototype lab set up is used for analyzing the skin classifiers and designing a Hi-Vi skin classifier. Further, a user friendly interface is developed using Hi-Vi algorithm with multimode interface features. The evaluation of developed system shows high TPR and low FPR.

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“…Driving a modern car is an extremely difficult task [1]. A driver has to perform multi-tasking, such as observing the road, monitoring the vehicle’s status, Global Positioning System (GPS) monitoring, operating numerous electronic and mechanical devices and using audio entertainment.…”

Section: Introductionmentioning

confidence: 99%

“…Hand-based gesture recognition is one of the hottest research fields, since it is of great significance in designing artificially intelligent human computer interfaces. Driving a modern car is an extremely difficult task [ 1 ]. A driver has to perform multi-tasking, such as observing the road, monitoring the vehicle’s status, Global Positioning System (GPS) monitoring, operating numerous electronic and mechanical devices and using audio entertainment.…”

Section: Introductionmentioning

confidence: 99%

Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar

Khan

Leem

Cho

2017

Sensors

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Modern cars continue to offer more and more functionalities due to which they need a growing number of commands. As the driver tries to monitor the road and the graphic user interface simultaneously, his/her overall efficiency is reduced. In order to reduce the visual attention necessary for monitoring, a gesture-based user interface is very important. In this paper, gesture recognition for a vehicle through impulse radio ultra-wideband (IR-UWB) radar is discussed. The gestures can be used to control different electronic devices inside a vehicle. The gestures are based on human hand and finger motion. We have implemented a real-time version using only one radar sensor. Studies on gesture recognition using IR-UWB radar have rarely been carried out, and some studies are merely simple methods using the magnitude of the reflected signal or those whose performance deteriorates largely due to changes in distance or direction. In this study, we propose a new hand-based gesture recognition algorithm that works robustly against changes in distance or direction while responding only to defined gestures by ignoring meaningless motions. We used three independent features, i.e., variance of the probability density function (pdf) of the magnitude histogram, time of arrival (TOA) variation and the frequency of the reflected signal, to classify the gestures. A data fitting method is included to differentiate between gesture signals and unintended hand or body motions. We have used the clustering technique for the classification of the gestures. Moreover, the distance information is used as an additional input parameter to the clustering algorithm, such that the recognition technique will not be vulnerable to distance change. The hand-based gesture recognition proposed in this paper would be a key technology of future automobile user interfaces.

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Significance of Hand Gesture Recognition Systems in Vehicular Automation-A Survey

Cited by 14 publications

References 19 publications

A Smart-hand Movement-based System to Control a Wheelchair Wirelessly

A Smart-hand Movement-based System to Control a Wheelchair Wirelessly

Hand Gesture Interface based on Skin Detection Technique for Automotive Infotainment System

Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar

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