Sixth Sense Technology

2016 ◽  
pp. 188-215 ◽  
Author(s):  
Zeenat S. AlKassim ◽  
Nader Mohamed
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Real World ◽  
Digital World ◽  
The Future ◽  
Computer Interaction

In this chapter, the authors discuss a unique technology known as the Sixth Sense Technology, highlighting the future opportunities of such technology in integrating the digital world with the real world. Challenges in implementing such technologies are also discussed along with a review of the different possible implementation approaches. This review is performed by exploring the different inventions in areas similar to the Sixth Sense Technology, namely augmented reality (AR), computer vision, image processing, gesture recognition, and artificial intelligence and then categorizing and comparing between them. Lastly, recommendations are discussed for improving such a unique technology that has the potential to create a new trend in human-computer interaction (HCI) in the coming years.

scholarly journals Efficient Gesture based Language Recognition using SVM and Lloyd’s Algorithm

2019 ◽  
Vol 8 (2S3) ◽  
pp. 927-930
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Computer Vision ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Video Data ◽  
Hand Gesture ◽  
Language Recognition ◽  
Computer Interaction

undertaking in the field of human-computer interaction (HCI) and computer vision. 10 years prior to the undertaking appeared to be practically unsolvable with the data given by a single RGB camera. In this work, we have actualized a presumable exact strategy to perceive static gestures or image frames from a live camera or video data. As Hand Gesture Recognition is identified with two noteworthy fields of image processing and AI (machine learning), in this way, this report likewise refers to the different tools and APIs that can be utilized to implement different strategies and methods in these fields

Sixth Sense Technology

2017 ◽  
Vol 1 (2) ◽  
pp. 18-41
Author(s):  
Zeenat AlKassim ◽  
Nader Mohamed
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Real World ◽  
The Real ◽  
Virtual Objects ◽  
Unique Manner ◽  
Software And Hardware ◽  
Hardware Designs ◽  
Computer Interaction

This paper discusses recent and unique inventions in Human Computer Interaction (HCI). To that end, firstly the authors discuss the Sixth Sense Technology. This technology allows users to interact with virtual objects in the real world in a unique manner. It has a number of applications which are further discussed. Then the opportunities and challenges are discussed. Most importantly, a list of inventions in fields of Augmented Reality (AR) and Virtual Reality (VR) in the recent years are discussed, grouped and compared. These include the smart eye glasses, VR headsets, smart watches, and more. Future implications of all those technologies are brought into light considering the new advancements in software and hardware designs. Recommendations are highlighted for future inventions.

scholarly journals The Opportunities and Limitations of Human Computer Interaction in Virtual and Augmented Reality

2020 ◽  
Vol 8 (6) ◽  
pp. 4667-4673
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
User Interfaces ◽  
Interface Design ◽  
Design Development ◽  
Wide Range ◽  
The Future ◽  
Virtual And Augmented Reality ◽  
Computer Interaction

Virtual Reality, Augmented Reality and other such immersive environments have gained popularity with the increase in technological trends in the past decade. As they became widely used, the human computer interface design and the designing criteria emerges as a challenging task. Virtual and Augmented Reality provide a wide range of applications ranging from a primitive level like improving learning, education experiences to complex industrial and medical operations. Virtual reality is a viable alternative that can be focussed on, in the future interface design development because it can remove existing generic and complex physical interfaces and replace them with an alternative sensory relayed input form. It provides a natural and efficient mode of interaction, that the users can work with.Virtual and Augmented reality eradicates the need for development of different acceptable standards for user interfaces as it can provide a whole and generic interface to accommodate the work setting.In this paper, we investigated various prospects of applications for user interaction in Virtual and Augemnted realities and the limitations in the respective domains. The paper provides an outline on how the new era of human computer interaction leading to cognition-based communications, and how Virtual and Augmented realities can tailor the user needs and address the future demands which replaces the need for command-based interaction between the humans and computers.

scholarly journals Research on Gesture Recognition Method Based on Computer Vision

2018 ◽  
Vol 232 ◽  
pp. 03042
Author(s):  
Xianghan Wang ◽  
Jie Jiang ◽  
Yingmei Wei ◽  
Lai Kang ◽  
Yingying Gao
Keyword(s):  
Computer Vision ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Development Trend ◽  
Advantages And Disadvantages ◽  
Hand Segmentation ◽  
Neural Network Algorithm ◽  
Dynamic Time ◽  
Image Collection ◽  
Computer Interaction

Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on wearable devices, but hope to perform gesture recognition in a more natural way. Computer vision-based gesture recognition can transfer human feelings and instructions to computers conveniently and efficiently, and improve the efficiency of human-computer interaction significantly. The gesture recognition based on computer vision is mainly based on hidden Markov, dynamic time rounding algorithm and neural network algorithm. The process is roughly divided into three steps: image collection, hand segmentation, gesture recognition and classification. This paper reviews the computer vision-based gesture recognition methods in the past 20 years, analyses the research status at home and abroad, summarizes its current development, the advantages and disadvantages of different gesture recognition methods, and looks forward to the development trend of gesture recognition technology in the next stage.

scholarly journals Implementation and Performance Analysis of Different Hand Gesture Recognition Methods

2019 ◽  
pp. 13-20
Author(s):  
Md. Manik Ahmed ◽  
Md. Anwar Hossain ◽  
A F M Zainul Abadin
Keyword(s):  
Computer Vision ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Optimization Technique ◽  
Light Condition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Model Accuracy ◽  
Recognition Model ◽  
Computer Interaction

In recent few years, hand gesture recognition is one of the advanced grooming technologies in the era of human computer interaction and computer vision due to a wide area of application in the real world. But it is a very complicated task to recognize hand gesture easily due to gesture orientation, light condition, complex background, translation and scaling of gesture images. To remove this limitation, several research works have developed which is successfully decrease this complexity. However, the intention of this paper is proposed and compared four different hand gesture recognition system and apply some optimization technique on it which ridiculously increased the existing model accuracy and model running time. After employed the optimization tricks, the adjusted gesture recognition model accuracy was 93.21% and the run time was 224 seconds which was 2.14% and 248 seconds faster than an existing similar hand gesture recognition model. The overall achievement of this paper could be applied for smart home control, camera control, robot control, medical system, natural talk, and many other fields in computer vision and human-computer interaction.

The Mystics and Magic of Latent Space: Becoming the Unseen

2020 ◽  
pp. 88-93
Author(s):  
John S. Seberger ◽  
Aubrey Slaughter
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Media Studies ◽  
Second Order ◽  
Image Construction ◽  
Latent Space ◽  
Computer Interaction

Bridging concerns from human-computer interaction (HCI) and media studies, this essay theorizes deepfake images in terms of their phenomenological implications: the extent to which they enfold the human viewer in a world of the otherwise unseen. Drawing on comparative phenomenology of Vilém Flusser and Louis Bec, we focus on variational autoencoders (VAEs). We contend that the processes underlying deepfake image construction, as much as deepfake images themselves, evidence a parallel, prosthetic, and computational phenomenology: a study of “that which appears” to a computer, and which appears secondarily to a user-human as image. We use the example of VAEs to argue for the emergence of a second-order, received phenomenology of the augmented human as we reside in an increasingly computational world. 
 Keywords: deepfake, computer vision, augmented reality, computer phenomenology, magic phenomenology, machine shamanism

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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