We propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric.

We propose a multi-sensor analytics framework for presentation, which analyzes both the conventional ambient sensors (audio, visual, and depth sensor) and ...

In this work, we propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric. We ...

In this work, we propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric. We ...

In this work, we propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric. We ...

In this work, we propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric. We ...

In this work, we propose a novel multi-sensor self-quantification system for presentations, which is designed based on a new proposed assessment rubric. We ...

2019 ; 卷号, 15期号:2 ; 关键词, Quantified self multi-modal analysis presentations learning analytics ; DOI, 10.1145/3300941 ; URL标识, 查看原文.

The proposed framework is evaluated on a new presentation dataset, namely NUS Multi-Sensor Presentation (NUSMSP) dataset, which consists of 51 presentations ...

This work proposes a multi-stream deep learning framework customized for presentation assessment that uses Bidirectional Long Short-Term Memory with ...