International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Raspberry Pi Augmentation: A cost effective solution to Google Glass Nikhil Paonikar1, Samuel Kumar2, Manoj Bramhe3 1,2UG
student, Department of Information Technology, St. Vincent Pallotti College of Engineering and Technology, Maharashtra, India 3Associate Professor and H.O.D., Department of Information Technology, St. Vincent Pallotti College of Engineering and Technology, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In this paper, we present the concept of using a
tasks. The system has the capability of detecting faces and motion to some degree.
Raspberry Pi as the main computer. This human enhancement is voice controlled, uses a camera module to interact with the outside world and process the retrieved information for real-time use by the wearer. It uses this augmentation as a brain-computer interface to connect to the web, extract and process information from the physical world. As a forward stride in wearable technology, this device intends to employ the disciplines of speech synthesis, cloud computing and image processing in order to serve the user as a primary portable computer that is voice-enabled and always ready for interaction.
2. LITERATURE SURVEY According to Kevin Warwick in [1], what constitutes a Brain-Computer Interface (BCI) can be extremely broad. A standard keyboard could be so regarded. It is clear however, that virtual reality systems, e.g. glasses containing a miniature computer screen for a remote visual experience (Mann 1997), are felt by some researchers to fit this category. Certain body conditions, such as stress or alertness, can be indeed be monitored in this way.
Key Words: Wearable Technology, Augmentation, Wearable Device, Human Enhancement, BrainComputer Interface, Human-computer interaction.
In their paper on a wearable personal cloud [2], authors Hasan and Khan describe personal terminal devices as interactive devices capable of wireless communications like WiFi, Bluetooth, ZigBee. Such devices include, but are not limited to, smartphones, smartwatches, tablet computers, smart-glasses, health monitors, and other IoT devices. They even posit that this kind of wearable tech utilizes lower hardware specifications to function as resource constraint devices, in terms of computational power, battery, memory and storage.
1. INTRODUCTION The terms “wearable technology” refers to electronic devices, particularly computers that are incorporated into items of clothing and more eminent in accessories which can comfortably be worn on the body. Wearable devices are capable of performing many of the same computing tasks as smartphones, tablets and laptops; however, in some cases, wearable technology are proficient enough to outperform these portable devices entirely. Wearable tech tend to be better engineered and often employ cutting edge technologies that are rarely found in hand-held technology on the market today. These relatively new wearable devices can provide sensory and scanning features not usually seen in mobile and laptop devices, such as biofeedback and tracking of physiological function. The wearable is being developed to make it function as a human enhancement. It is engineered to acquire data from the surrounding environment of the user through a camera integrated within the head-mounted augmentation and processing that data in real-time via the Raspberry Pi. The information obtained by processing this data will be then projected onto a semi-transparent glass which would be suspended to the anterior of the augmentation. This augmentation also has an artificial intelligence that responds to the user’s voice and performs the instructed
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Computer vision [3] is the technology in which machines are able to interpret/extract necessary information from an image. Computer vision technology includes various fields like image processing, image analysis and machine vision. It includes certain aspect of artificial intelligence techniques like pattern recognition. The machines which implement computer vision techniques require image sensors which detect electromagnetic radiation which are usually in the form of ultraviolet rays or light rays. In his paper [4], Ronald T. Azuma describes a unique characteristic of augmented reality; besides adding objects to a real environment, AR also has the potential to remove them. Current work has focused on adding virtual objects to a real environment. However, graphic overlays might also be used to remove or hide parts of the real environment from a user. For example, to remove a desk in
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