Device Independent Human Activity Recognition
Recognizing human activities is a long standing research problem. A commonly found approach makes use of the various sensors available on mobile phones or similar devices. More recently, there has been a push to develop techniques that are not dependent on a person carrying a device. The aim of this project was to investigate and develop novel computer vision techniques to aid in the recognition of activities. Potential applications include assisted living applications.
|Effective start/end date||8/03/17 → 2/09/19|