I am Smartglasses, and I Can Assist Your Reading
| Autor: | Dai Jialu, Baojie Yuan, Yongpan Zou, Kaishun Wu, Han Yetong, Ye Liu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject 05 social sciences 050301 education Wearable computer Eye movement 050105 experimental psychology Software portability User experience design Human–computer interaction Reading (process) Mind-wandering Eye tracking 0501 psychology and cognitive sciences business 0503 education Wearable technology media_common |
| Zdroj: | Algorithms and Architectures for Parallel Processing ISBN: 9783030602383 ICA3PP (2) |
| DOI: | 10.1007/978-3-030-60239-0_26 |
| Popis: | Human reading states reflect people’s mental activities and are closely related with learning behaviors. Consequently, it is of great value to identify reading states in many aspects. For example, it can provide timely assistance in learning processes and boost the learning efficiency of learners in a personalized way. Conventionally, researchers usually make use of EEG and fMRI to recognize human reading states. However, these methods have shortcomings of high device cost, low portability and bad user experience. In this paper, we design a real-time reading states detection system named ETist with commodity wearable glasses that can identify four reading states including attention, browsing, mind wandering and drowsiness via tracking eye movement. Through our experiments, we demonstrate that this system can recognize four fine-grained states with an average accuracy of 84.0%, which is applicable in a wide area of applications. |
| Databáze: | OpenAIRE |
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