DreamCatcher: a wearer-aware sleep event dataset based on earables in non-restrictive environments
2024年1月1日·
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0 分钟阅读时长
Zeyu Wang
Xiyuxing Zhang
Ruotong Yu
Yuntao Wang
Kenneth Christofferson
Jingru Zhang
Alex Mariakakis
Yuanchun Shi
摘要
睡眠质量不佳往往伴随一系列可观测事件，从翻身等身体运动到打鼾、呼吸暂停等呼吸相关异常均可作为表征。近年来，配备传感器的普及型耳塞（亦称耳戴设备，earables）为睡眠事件监测提供了更便捷的选择：将其与睡眠事件检测算法结合，有望为睡眠障碍人群提供替代繁琐临床检查的居家方案。然而，现有基于耳戴设备的睡眠事件检测研究多默认“单人睡眠”场景，忽略了现实中个体常与室友或伴侣共享睡眠空间，从而引入显著的声音混叠与归属不确定性。为弥补这一缺口，我们提出 DreamCatcher：首个面向耳戴设备的佩戴者感知（wearer-aware）睡眠事件算法开发的公开数据集。DreamCatcher 覆盖 8 类睡眠事件，采集自 12 对（共 24 名）参与者在共享睡眠环境中的同步双通道音频与运动数据，总时长 210 小时（420 人·小时），并提供细粒度标注。我们进一步围绕睡眠事件检测相关的三项任务评测了多种基准模型，验证了 DreamCatcher 的可用性，同时揭示了共享睡眠场景下独特且具有挑战性的识别问题。我们希望 DreamCatcher 能促进社区进一步探索在耳戴设备上实现高效、佩戴者感知的人体声音活动传感与睡眠事件识别。数据集已开源：https://github.com/thuhci/DreamCatcher。
类型
出版物
Proceedings of the 38th International Conference on Neural Information Processing Systems
Authors
Associate Professor (Research Track)
Yuntao Wang’s research centers on physiobehavioral computing and
intelligent interaction for mobile and wearable systems. His work
focuses on (1) developing robust, efficient sensing that performs
reliably on mainstream devices, (2) extracting spatiotemporal patterns
from multimodal signals to infer interaction intent by leveraging
natural behavioral correlations, and (3) designing edge-efficient interfaces
that deliver high performance on mobile and wearable platforms.
He has published 90+ papers, received 10 international conference awards,
and holds 30+ granted patents. His contributions have been
recognized with honors including the Wu Wenjun AI Outstanding Youth
Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022),
the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024),
and the First Prize of the China Electronics Institute Science & Technology Award (2019).