Semantic Scholar Open Access 2022 43 sitasi

BLEselect

Tengxiang Zhang Zitong Lan Chenren Xu Yanrong Li Yiqiang Chen

Abstrak

Spontaneous selection of IoT devices from the head-mounted device is key for user-centered pervasive interaction. BLEselect enables users to select an unmodified Bluetooth 5.1 compatible IoT device by nodding at, pointing at, or drawing a circle in the air around it. We designed a compact antenna array that fits on a pair of smart glasses to estimate the Angle of Arrival (AoA) of IoT and wrist-worn devices' advertising signals. We then developed a sensing pipeline that supports all three selection gestures with lightweight machine learning models, which are trained in real-time for both hand gestures. Extensive characterizations and evaluations show that our system is accurate, natural, low-power, and privacy-preserving. Despite the small effective size of the antenna array, our system achieves a higher than 90% selection accuracy within a 3 meters distance in front of the user. In a user study that mimics real-life usage cases, the overall selection accuracy is 96.7% for a diverse set of 22 participants in terms of age, technology savviness, and body structures.

Topik & Kata Kunci

Penulis (5)

T

Tengxiang Zhang

Z

Zitong Lan

C

Chenren Xu

Y

Yanrong Li

Y

Yiqiang Chen

Format Sitasi

Zhang, T., Lan, Z., Xu, C., Li, Y., Chen, Y. (2022). BLEselect. https://doi.org/10.1145/3569482

Akses Cepat

Lihat di Sumber doi.org/10.1145/3569482
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
43×
Sumber Database
Semantic Scholar
DOI
10.1145/3569482
Akses
Open Access ✓