Occupancy Detection in Commercial and Residential Environments Using Audio Signal
Occupancy Detection in Commercial and Residential Environments Using Audio Signal
复制标题
使用音频信号在商业和住宅环境中进行占用检测
DOI：
10.21437/interspeech.2017-524
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Z. Feng
中科院分区：
文献类型：
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作者：
Shabnam Ghaffarzadegan;Attila Reiss;Mirko Ruhs;R. Dürichen;Z. Feng
占用检测，包括存在检测和人数统计，作为快速发展的领域之一，在住宅和商业设置中提供安全，舒适和降低能耗方面发挥着重要作用。本研究的重点是提出可负担的策略，以提高在现实场景中仅使用从环境中收集的音频信号的占用检测性能。我们在住宅和商业环境中使用大约100小时的音频数据来分析和评估我们的设置。在本研究中，我们利用特征选择方法的发展来为任务选择最相关的音频特征。还执行属性和错误与人类活动的分析，以便更好地了解环境声音和提高性能的可能解决方案。实验结果证实了音频传感器用于占用检测的有效性，该系统具有成本效益，在住宅和商业设置中，存在检测准确率分别为96%和99%，人头计数准确率分别为70%和95%。
Occupancy detection, including presence detection and head count, as one of the fast growing areas plays an important role in providing safety, comfort and reducing energy consumption both in residential and commercial setups. The focus of this study is proposing affordable strategies to increase occupancy detection performance in realistic scenarios using only audio signal collected from the environment. We use approximately 100-hour of audio data in residential and commercial environments to analyze and evaluate our setup. In this study, we take advantage of developments in feature selection methods to choose the most relevant audio features for the task. Attribute and error vs. human activity analysis are also performed to gain a better understanding of the environmental sounds and possible solutions to enhance the performance. Experimental results confirm the effectiveness of audio sensor for occupancy detection using a cost effective system with presence detection accuracy of 96% and 99%, and the head count accuracy of 70% and 95% for the residential and commercial setups, respectively.
使用环境进行占用监控
DOI：
10.1145/2674061.2674080
发表时间：
2014
期刊：
--
影响因子：
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作者：
Khan A
通讯作者：
Khan A