4 research outputs found

    ICMI'12:Proceedings of the ACM SIGCHI 14th International Conference on Multimodal Interaction

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    An Outlook into the Future of Egocentric Vision

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    What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digital overlays, is expected to be integrated in our every day lives. To understand this gap, the article starts by envisaging the future through character-based stories, showcasing through examples the limitations of current technology. We then provide a mapping between this future and previously defined research tasks. For each task, we survey its seminal works, current state-of-the-art methodologies and available datasets, then reflect on shortcomings that limit its applicability to future research. Note that this survey focuses on software models for egocentric vision, independent of any specific hardware. The paper concludes with recommendations for areas of immediate explorations so as to unlock our path to the future always-on, personalised and life-enhancing egocentric vision.Comment: We invite comments, suggestions and corrections here: https://openreview.net/forum?id=V3974SUk1

    Hill-Vu Mob. Home Park v. City of Pocatello Clerk\u27s Record Dckt. 44074

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    https://digitalcommons.law.uidaho.edu/idaho_supreme_court_record_briefs/7391/thumbnail.jp

    Development of the 2012 SJTU HVR System

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    ABSTRACT Haptic voice recognition (HVR) is a multi-modal text entry method for smart mobile devices. It employs haptic events generated by speakers during speaking to achieve better efficiency and robustness for automatic speech recognition. This paper describes the detailed design of the 2012 SJTU submission for the HVR Grand Challenge. During the design, a new perplexity metric using conditional entropy is proposed to evaluate the potential search space reduction of a haptic event without speech input. A number of new haptic events are evaluated both theoretically and experimentally in detail. The final submission system uses the haptic event of initial letter plus final letter and reduces word error rate by 76% compared to the baseline initial letter event
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