Real-Time Eye-Interaction System Developed with Eye Tracking Glasses and Motion Capture

Bao, Haifeng; Fang, Weining; Guo, Beiyuan; Wang, Peng

doi:10.1007/978-3-319-60639-2_8

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Technologies that utilize head-mounted devices have been mentioned in several researches in the last years. Among its possible applications is augmented reality technology for pedestrian collision warning [43], driver drowsiness detection systems [44], eye tracking-based interfaces [45], and drivers' distraction detection [46,47]. Especially the last type of application might be a promising field of application for our algorithm because some head positions and motions might be an indicator that a driver is sleepy or falls asleep.…”

Section: Motivations Of This Papermentioning

confidence: 99%

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor

Hachaj

Piekarczyk

2019

Sensors

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The motivation of this paper is to examine the effectiveness of state-of-the-art and newly proposed motion capture pattern recognition methods in the task of head gesture classifications. The head gestures are designed for a user interface that utilizes a virtual reality helmet equipped with an internal measurement unit (IMU) sensor that has 6-axis accelerometer and gyroscope. We will validate a classifier that uses Principal Components Analysis (PCA)-based features with various numbers of dimensions, a two-stage PCA-based method, a feedforward artificial neural network, and random forest. Moreover, we will also propose a Dynamic Time Warping (DTW) classifier trained with extension of DTW Barycenter Averaging (DBA) algorithm that utilizes quaternion averaging and a bagged variation of previous method (DTWb) that utilizes many DTW classifiers that perform voting. The evaluation has been performed on 975 head gesture recordings in seven classes acquired from 12 persons. The highest value of recognition rate in a leave-one-out test has been obtained for DTWb and it equals 0.975 (0.026 better than the best of state-of-the-art methods to which we have compared our approach). Among the most important applications of the proposed method is improving life quality for people who are disabled below the neck by supporting, for example, an assistive autonomous power chair with a head gesture interface or remote controlled interfaces in robotics.

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Section: Motivations Of This Papermentioning

confidence: 99%

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor

Hachaj

Piekarczyk

2019

Sensors

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“…Infrared (IR) sensors can be an efficient tool to resolve this problem and increase the performance and security of workers in closed spaces. Recently, this technology has been investigated in References [31][32][33][34] to avoid unexpected vehicles accidents stemmed from lethargy, drugs, or any narcotic substances. The algorithm in Reference [31] describes the eye movement detection in detail.…”

Section: Eye Motion Sensormentioning

confidence: 99%

Impact of Multi-Sensor Technology for Enhancing Global Security in Closed Environments Using Cloud-Based Resources

Altowaijri

Ayari

Touati

2019

JSAN

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By nature, some jobs are always in closed environments and employees may stay for long periods. This is the case for many professional activities such as military watch tours of borders, civilian buildings and facilities that need efficient control processes. The role assigned to personnel in such environments is usually sensitive and of high importance, especially in terms of security and protection. With this in mind, we proposed in our research a novel approach using multi-sensor technology to monitor many safety and security parameters including the health status of indoor workers, such as those in watchtowers and at guard posts. In addition, the data gathered for those employees (heart rate, temperature, eye movement, human motion, etc.) combined with the room’s sensor data (temperature, oxygen ratio, toxic gases, air quality, etc.) were saved by appropriate cloud services, which ensured easy access to the data without ignoring the privacy protection aspect of such critical material. This information can be used later by specialists to monitor the evolution of the worker’s health status as well as its cost-effectiveness, which gives the possibility to improve productivity in the workplace and general employee health.

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Real-Time Eye-Interaction System Developed with Eye Tracking Glasses and Motion Capture

Cited by 2 publications

References 12 publications

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor

Impact of Multi-Sensor Technology for Enhancing Global Security in Closed Environments Using Cloud-Based Resources

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