Artificial intelligence gaming assistant for Google Glass

Abstract

The interaction between humans and computers has traditionally been through the medium of desktop computing. However, in recent years, an alternative computing concept known as ubiquitous computing is ushering in various wearable computing technologies, such as Google Glass. These technologies enable even more immediate ways to share and access information. Our research seeks to explore novel methods in which these wearable technologies can be combined with more powerful computing techniques to compute useful context-specific information. The scope of this research is in utilizing Google Glass to act as an artificially intelligent game assistant. The approach of this work is to make use of Google’s Mirror API to build a web-based service to interact with Glass. The Mirror API is used to share an image from Glass to a web-based service where the image is processed and key features are extracted. An appropriate algorithm is then used to compute a nearoptimal game move depending on the game being played. The results are promising, and the Glassware that was implemented suggests appropriate moves while playing a game of Connect Four. Our results foreshadow what is possible when wearable technology is combined with artificially intelligent computation in the cloud.