Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ajjen Joshi"'
Publikováno v:
ICASSP
Driving in a state of drowsiness is a major cause of road accidents, resulting in tremendous damage to life and property. Developing robust, automatic, real-time systems that can infer drowsiness states of drivers has the potential of making lifesavi
Autor:
Taniya Mishra, Ajjen Joshi, Sandipan Banerjee, Prashant Mahajan, Sneha Bhattacharya, Survi Kyal
Publikováno v:
CVPR Workshops
Building facial analysis systems that generalize to extreme variations in lighting and facial expressions is a challenging problem that can potentially be alleviated using natural-looking synthetic data. Towards that, we propose LEGAN, a novel synthe
Publikováno v:
UIST (Adjunct Volume)
Swipe-based methods for text entry by gaze allow users to swipe through the letters of a word by gaze, analogous to how they can swipe with a finger on a touchscreen keyboard. Two challenges for these methods are: (1) gaze paths do not possess clear
Publikováno v:
IVA
In spite of their ubiquity, our interactions with contemporary conversational agents (CA), such as Alexa, are still transactional in nature and lack the expressiveness of human-human communication. Conversational agents equipped with the ability to d
Autor:
Nataniel Ruiz, Hao Yu, Danielle A. Allessio, Mona Jalal, Ajjen Joshi, Thomas Murray, John J. Magee, Jacob R. Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke
In this work, we propose a video-based transfer learning approach for predicting problem outcomes of students working with an intelligent tutoring system (ITS). By analyzing a student's face and gestures, our method predicts the outcome of a student
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ee1f0bbb24254a1a603dfd2cb32aea6
http://arxiv.org/abs/2002.05242
http://arxiv.org/abs/2002.05242
Driving in a state of drowsiness is a major cause of road accidents, resulting in tremendous damage to life and property. Developing robust, automatic, real-time systems that can infer drowsiness states of drivers has the potential of making life-sav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e1ad2c9e1866f5d8251890e64b1155b
Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve driver safety. In order to detect driver distraction, an ADAS must be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a6c7ef61b8089e99e1856381fe5922
Autor:
Nataniel Ruiz, Hao Yu, Danielle A. Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Manuel Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. :1-1
Publikováno v:
ACII
A state of frustration can impair a driver's ability to make decisions that optimize the safety of the driver as well as that of those around him or her. Equipping a car with the capability of detecting signs of driver frustration and responding with
Autor:
Danielle Allessio, Ajjen Joshi, Stan Sclaroff, Jacob Whitehill, John J. Magee, Ivon Arroyo, Margrit Betke, Beverly Park Woolf
Publikováno v:
FG
Equipping an Intelligent Tutoring System (ITS) with the ability to interpret affective signals from students could potentially improve the learning experience of students by enabling the tutor to monitor the students’ progress and provide timely in