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Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions. . Since the 1980s, this research field has captured the attention of several computer science communities due to its strength in providing personalized support for many different applications and its connection to many ...
The prototypical first-person vision system described by Kanade and Hebert, [8] in 2012 is composed by three basic components: a localization component able to estimate the surrounding, a recognition component able to identify object and people, and an activity recognition component, able to provide information about the current activity of the ...
OPPORTUNITY Activity Recognition Dataset Human Activity Recognition from wearable, object, and ambient sensors is a dataset devised to benchmark human activity recognition algorithms. None. 2551 Text Classification 2012 [188] [189] D. Roggen et al. Real World Activity Recognition Dataset Human Activity Recognition from wearable devices.
Wearable technology is any technology that is designed to be used while worn.Common types of wearable technology include smartwatches and smartglasses.Wearable electronic devices are often close to or on the surface of the skin, where they detect, analyze, and transmit information such as vital signs, and/or ambient data and which allow in some cases immediate biofeedback to the wearer.
Specific applications include the tracking eye movement in language reading, music reading, human activity recognition, the perception of advertising, playing of sports, distraction detection and cognitive load estimation of drivers and pilots and as a means of operating computers by people with severe motor impairment. [23]
reCAPTCHA is a CAPTCHA-like system designed to establish that a computer user is human (normally in order to protect websites from bots) and, at the same time, assist in the digitization of books. A sensor based on a piezoelectric film (EMFI sensor) is used to detect mechanical vibrations and the presence of a person seated on the rear bench of ...
In 2003, Kiyoharu Aizawa introduced a context-based video retrieval system that was designed to handle data continuously captured from various sources, including a wearable camera, a microphone, and multiple sensors such as a GPS receiver, an acceleration sensor, a gyro sensor, and a brain-wave analyzer.
Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.
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