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Towards Acoustic Sensing in Human-centered Smart Environment
PhD Thesis Proposal Defence Title: "Towards Acoustic Sensing in Human-centered Smart Environment" by Mr. Linfei GE Abstract: In recent years, the proliferation of smart devices has led to significant growth and rapid advancements in technology. As a result, human-computer interaction has become increasingly important. Researchers have explored various methods to establish connections between smart devices and humans, aiming to create human-centered smart environments that enhance comfort and convenience. However, deploying these methods and systems in real-world environments still poses numerous challenges. This thesis focuses on acoustic sensing and aims to develop practical systems that can be seamlessly integrated into daily life. Firstly, we design and implement a strength-based acoustic tracking system suitable for narrow spaces. Unlike traditional systems that require the distribution of localization beacons far apart for improved accuracy, our system allows for the placement of beacons in close proximity, achieving high tracking accuracy. Secondly, we propose a method to estimate human attention by tracking head motion. By monitoring the movement of the earphones, we can accurately track the motion of the user's head, enabling us to estimate their attention. Lastly, we address the limitations imposed by the Bluetooth Low Energy protocol by leveraging the nonlinearity properties of wireless earphones. This allows us to overcome the constraints of low sampling rates and BLE compression, enabling effective earphone tracking within the framework of commercial wireless earphones. Through these contributions, we aim to advance the field of acoustic sensing and develop practical systems that can be deployed in various real-world scenarios. Date: Monday, 30 October 2023 Time: 2:00pm - 4:00pm Venue: Room 5562 lifts 27/28 Committee Members: Prof. Qian Zhang (Supervisor) Prof. Bo Li (Chairperson) Prof. Mo Li Dr. Wei Wang **** ALL are Welcome ****