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Thursday, July 9, 2020 | History

2 edition of Automated reading assistance system using point-of-gaze estimation. found in the catalog.

Automated reading assistance system using point-of-gaze estimation.

Jeffrey J. Kang

Automated reading assistance system using point-of-gaze estimation.

by Jeffrey J. Kang

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Published .
Written in English


About the Edition

Head-mounted and remote point-of-gaze estimation methodologies were used in an automated reading assistant to vocalize unknown words in real-time. Points-of-gaze were mapped onto stationary and moving reading material using homographic mappings established from point correspondences between the reading material and images from a scene camera. Points-of-gaze on reading material were used to measure the processing time of each viewed word. Unknown words were detected based on processing time length. Viewed words could be uniquely identified when words on the reading material were separated by more than 15 mm. In a pilot study of four subjects, using remote point-of-gaze estimation and stationary reading material, the detector achieved a detection rate of 89% with a false alarm rate of 11%. In a pilot study with two subjects, using head-mounted point-of-gaze estimation to allow free head movement, the automated reading assistant provided vocalization for 94% of unknown words and 10% of known words.

The Physical Object
Pagination86 leaves.
Number of Pages86
ID Numbers
Open LibraryOL19214928M
ISBN 109780494161241

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Automated reading assistance system using point-of-gaze estimation by Jeffrey J. Kang Download PDF EPUB FB2

Using a head-mounted eye tracking system, a new methodology based on four or more point correspondences in two views was developed to reconstruct the subject's point-of-gaze. Books at Amazon. The Books homepage helps you explore Earth's Biggest Bookstore without ever leaving the comfort of your couch.

Here you'll find current best sellers in books, new releases in books, deals in books, Kindle eBooks, Audible audiobooks, and so much more. Binocular eye-gaze tracking can be used to estimate the point-of-gaze (POG) of a subject in real-world three-dimensional (3D) space using the vergence of the eyes.

In this thesis, a novel non-contact, model-based technique for 3D POG estimation is presented. The non-contact system allows people to select real-world objects in 3D physical space using their eyes, without the need for head Cited by: 4.

Rahul Kala, in On-Road Intelligent Vehicles, Abstract. Advanced Driver Assistance Systems are intelligent systems that reside inside the vehicle and assist the main driver in a variety of ways. These systems may be used to provide vital information about traffic, closure and blockage of roads ahead, congestion levels, suggested routes to avoid congestion etc.

Eye tracking is the process of measuring either the point of gaze (where one is looking) or the motion of an eye relative to the head. An eye tracker is a device for measuring eye positions and eye trackers are used in research on the visual system, in psychology, in psycholinguistics, marketing, as an input device for human-computer interaction, and in product design.

Experimental results Automated reading assistance system using point-of-gaze estimation. book with three adult subjects exhibited RMS point-of-gaze estimation errors ranging from 7 to 12 mm (equivalent to about -- 1° of visual angle) for head movements in.

The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated current state of the art of automated vehicle research.

Password Based Door Lock System using Microcontroller is a simple project where a secure password will act as a door unlocking system. Traditional lock systems using mechanical lock and key mechanism are being replaced by new advanced techniques of locking system. managing a paper appointment book or electronic calendar.

Online self-scheduling is one feature that individuals quickly begin using. For example, one counseling group saw an immediate change in the way its clients scheduled their appointments: over 90 percent of them now book online.

Automated e-mail and text message reminders. Advanced driver-assistance systems (ADAS) are electronic systems that assist drivers in driving and parking functions. Through a safe human-machine interface, ADAS increase car and road safety. ADAS systems use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly.

estimation at Electronic System Level as a research assistant of Professor Leupers at the Institute of Communication Technologies and Embedded Systems (ICE) at RWTH Aachen University. During my work at ICE, the writing of my dissertation, and the compilation of this book, several people have supported and accompanied me.

Lidar technologies provide immediate and accurate free-space detection and excellent object detection and localization. As a result, a driver-assistance system designed with a high-performance, forward-looking lidar (FLL) sensor would greatly improve vehicle performance and safety.

First you need to know what automated driving means. The Society of Automotive Engineers has developed the current standards, which defines automation with a range of 5 levels — from level 0, no. Automakers have invested heavily in developing advanced driver-assistance technologies to make driving more comfortable and safe.

The most advanced of these systems are already offered as vehicle features that satisfy Level 2 automated driving as defined by SAE International in SAE J Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor.

[] Mobile robot navigation system in outdoor pedestrian environment using vision-based road recognition. [] Obstacle detection and mapping in low-cost, low-power multi-robot systems using an Inverted Particle Filter.

[] Real-time estimation of drivable image area based on monocular vision. For example, AI algorithms that can read diagnostic scans with a high degree of accuracy will help doctors diagnose patient cases and identify suitable treatment. In other fields, jobs with repetitive tasks could shift toward a model of managing and troubleshooting automated systems.

Top 22+ Intelligent Personal Assistants or Automated Personal Assistants including Google now, Amazon Echo, Cortana, Siri, BlackBerry Assistant,Braina, Hound, Nina, SILVIA, Lucida, Ubi, Vlingo,Aido, Cubic, Jibo, Maluuba, Mycroft are some of the top Intelligent Personal Assistant or Automated Personal Assistant in no particular order.

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READ MORE. Introducing our new app. Our free app makes it even easier to manage your account. With just a few clicks on your phone, you can. The second section then explains the technological choices, from the architecture of the system and dynamic applications to information management, the smartphone-based energy-oriented driving assistance system, automatic fleet balancing systems, and real-time monitoring of vehicle positions.

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A battery management system which is a control unit monitors the battery state and helps VCU to make decisions based on battery state. The state of Charge, State of Health, Current, Voltage, etc. are being monitored by BMS. State of charge estimation for an electric vehicle battery; State of health estimation for an EV battery.Abstract: Radar technology is used for many applications of advanced driver assistance systems (ADASs) and is considered as one of the key technologies for highly automated driving (HAD).

An overview of conventional automotive radar processing is presented and critical use cases are pointed out in which conventional processing is bound to fail due to limited frequency resolution.