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Learning algorithm to detect human presence in indoor environments from acoustic signals
Learning algorithm to detect human presence in indoor environments from acoustic signals
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机译:一种从声波信号中检测室内环境中人的存在的学习算法
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摘要
A system is described that constantly learns the sound characteristics of an indoor environment to detect the presence or absence of humans within that environment. A detection model is constructed and a decision feedback approach is used to constantly learn and update the statistics of the detection features and sound events that are unique to the environment in question. The learning process may not only rely on acoustic signal, but may also make use of signals derived from other sensors such as range sensor, motion sensors, pressure sensors, and video sensors.
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