@inproceedings{91ad15c381994dbbb22c9f1c2a4c5b5f,
title = "Poster Abstract: LEVO: LEGO{\textregistered} Bricks Enhanced Single-Point Vibration Sensing for Occupant Monitoring",
abstract = "The rising older adults population has led to an increased demand for in-home health monitoring to support their well-being in daily life. For instance, localization and tracking are essential applications in elderly monitoring since they can provide various information on health, mobility and can detect falls. The required power and computational resources of traditional acoustic sensor-array solutions make them unavailable on power- and computation- constrained embedded devices. In this paper, we present LEVO, a single-point directional acoustic sensing system that leverages simple LEGO{\textregistered} bricks to build up a physical structure that can embed directional information into a signal waveform. Our preliminary results verifies the feasibility of adopting LEVO for signal direction recognition from signal-point sensing data.",
keywords = "direction embedding, metamaterials, vibration sensing",
author = "Yue Zhang and Shikha Patel and Lee, \{Dong Yoon\} and Paolo Celli and Amelie Bonde and Shijia Pan",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 21st ACM Conference on Embedded Networked Sensors Systems, SenSys 2023 ; Conference date: 13-11-2023 Through 15-11-2023",
year = "2024",
month = apr,
day = "26",
doi = "10.1145/3625687.3628385",
language = "English",
series = "SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems",
publisher = "Association for Computing Machinery, Inc",
pages = "516--517",
booktitle = "SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems",
}