Abstract | ||
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Head-mounted eye tracking offers remarkable opportunities for human computer interaction in dynamic scenarios (e.g., driving assistance). Although a plethora of proprietary software for the acquisition of such eyetracking data exists, all of them are plagued by a critical underlying issue: their source code is not available to the end user. Thus, a researcher is left with few options when facing a scenario in which the proprietary software does not perform as expected. In such a case, the researcher is either forced to change the experimental setup (which is undesirable) or invest a considerable amount of time and money in a different eye-tracking system (which may also underperform). In this paper, we introduce EyeRec, an open-source data acquisition software for head-mounted eye-tracking. Out of the box, EyeRec offers real-time state-of-the-art pupil detection and gaze estimation, which can be easily replaced by user implemented algorithms if desired. Moreover, this software supports multiple head-mounted eye-tracking hardware, records eye and scene videos, and stores pupil and gaze information, which are also available as a real-time stream. Thus, EyeRec can be an efficient means towards facilitating gazed-based human computer interaction research and applications. Available at: www.perception.uni-tuebingen.de |
Year | Venue | Field |
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2016 | VISIGRAPP (3: VISAPP) | Computer vision,Gaze,End user,Source data,Computer science,Source code,Human–computer interaction,Eye tracking,Software,Artificial intelligence,Software construction,Data acquisition software |
DocType | Citations | PageRank |
Conference | 2 | 0.40 |
References | Authors | |
16 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
thiago santini | 1 | 63 | 8.72 |
Wolfgang Fuhl | 2 | 9 | 4.61 |
Thomas C. Kübler | 3 | 124 | 12.57 |
Enkelejda Kasneci | 4 | 202 | 33.86 |