Li Yun, Zeng Zhiling, Popescu Mihail, Ho K C
ECE Dept., University of Missouri, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2242-5. doi: 10.1109/IEMBS.2010.5627368.
Falling is a common health problem for elderly. It is reported that more than one third of adults 65 and older fall each year in the United States. To address the problem, we are currently developing an acoustic fall detection system, FADE, which automatically detects a fall and reports it to the caregiver. In a previous version, FADE used a 3-microphone linear array to eliminate the false alarms produced by sounds produced well above the floor level. To improve the fall detection in noisy and reverberant environments, we replaced the linear array by an 8-microphone circular array that can provide a better 3-D estimation of the sound location. Preliminary experiments show that the sound location estimation performed by the circular array is reliable and robust to interference. We obtained encouraging classification results on a pilot dataset with 55 falls and 120 non-fall sounds.
跌倒是老年人常见的健康问题。据报道，在美国，每年有超过三分之一的65岁及以上成年人会跌倒。为了解决这个问题，我们目前正在开发一种声学跌倒检测系统FADE，它能自动检测跌倒并向护理人员报告。在之前的版本中，FADE使用了一个3麦克风线性阵列来消除由高于地面的声音产生的误报。为了在嘈杂和混响环境中改善跌倒检测，我们将线性阵列替换为一个8麦克风圆形阵列，它可以提供更好的声音位置三维估计。初步实验表明，圆形阵列进行的声音位置估计可靠且对干扰具有鲁棒性。我们在一个包含55次跌倒声音和120次非跌倒声音的试验数据集上获得了令人鼓舞的分类结果。
