4. Conclusion
This paper presented a sound-based indoor and outdoor environment detection method for the seamless indoor and outdoor positioning handover. Chirp signal was used for the first time to detect indoor and outdoor environments. The performance of the method was outstanding compared to existing methods. Although the method was developed to detect indoor and outdoor environments for positioning systems, it can be used for other applications as well. For example, the awareness of indoor and outdoor is important for some context-aware applications. Since this paper showed the feasibility of the proposed method with a simple experiment, further studies are required with variable experimental settings for applying the method to the real-world applications.