Brett Adams
Papers
1
Total Citations
12
H-Index
1
About
Brett Adams is a researcher whose work centers on ubiquitous computing, indoor localization, and context-aware systems. His most-cited contribution, "Indoor location prediction using multiple wireless received signal strengths" (2008, 12 citations), introduced a novel framework for predicting indoor positions by leveraging multiple freely available wireless signals in public or office environments. This work proposed an abstract architectural design that outlined key system components and their functionalities, distinguishing itself from prior efforts by focusing on practical, infrastructure-light approaches to indoor positioning. Adams’ research addresses the challenge of enabling location-based services without requiring specialized hardware, making it relevant to smart building applications and mobile computing. His contributions have helped advance the understanding of how heterogeneous wireless signals can be harnessed for reliable indoor prediction, laying groundwork for subsequent developments in context-aware technologies. While his citation count reflects a focused impact, the foundational nature of his framework continues to inform researchers exploring low-cost, scalable indoor localization solutions.
Research Focus
Key Achievements
Top Papers
- 1Indoor location prediction using multiple wireless received signal strengths12 citations · 2008