Demo Paper: PreSense — An Assistive Presentation Self-Quantification System

This technical demo presents PreSense, an Assistive Presentation Self-Quantification System. Oral presentation is traditionally evaluated by a human instructor, which is cost-ineffective and time-consuming. PreSense allows individuals to self-evaluate their presentation skills. The system is designed to receive multimodal inputs from multiple sources, including webcam, Kinect sensor and Google Glass. The multimodal data is processed by a deep assessment framework, which outputs the evaluation results based on a carefully designed assessment rubric. In order to systematically visualize the individual assessment results, we develop an interactive graphical interface and demonstrate its efficacy using presentation data from the NUS Multi-Sensor Presentation (NUSMAP) dataset.