Pervasive Artificial Intelligence Research (PAIR) Labs

Robotics & Sensing Technology

Pervasive Artificial Intelligence Research (PAIR) Labs

Robotics & Sensing Technology

NCU – Professor Kuo-Chin Fan

Professor Kuo-Chin Fan Principal Investigator

Research :

A Deep Learning-based Gesture Interface for Value-Added Location Services

Core Technologies

Based on deep learning technology and applying image analysis as the core, a variety of simple and interesting contactless human-computer interaction interfaces are constructed, including gestures, virtual keyboards, in-air handwriting text input, and text recognition in the street scenes. These technologies provide users with a brand-new contactless interactive experience in many fixed-camera and mobile scenarios. We also implement value-added services and recommendation services regarding location information, so that users can effectively obtain their desired content, like well-classified photos of one specific site or the following journey recommendation.

Applications

1. Very small text recognition
2. Kiosk operating by gesture
3.Text input in the air for smart glasses
4. Automatic classification of pictures

Technology Transfer

1. Human-machine gesture interaction
2. Video recommendation

Technologies with Potential for Technology Transfer or Industry-Academia Collaboration

1. Handwriting text input in the air
2. Dynamic social network prediction and recommendation

Proposal for Industry-Academia Collaboration

1. Human-machine gesture interaction
2.Text-assisting navigation in the street scene