用身体传导声进行头部姿势分类

Ryo Kamoshida, K. Takemura
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引用次数: 1

摘要

人类活动产生的振动已被用于识别人类行为和开发用户界面;然而,很难估计不产生振动的静态姿势。这可以通过主动声传感来解决;然而,由于听觉的影响,这种方法不适合在头部周围发出一些振动。因此,我们提出了一种利用人体自然和有规律地产生的身体传导声音来估计头部姿势的方法。支持向量分类对头部的垂直方向和水平方向进行了识别,并通过实验验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Head Pose Classification by using Body-Conducted Sound
Vibrations generated by human activity have been used for recognizing human behavior and developing user interfaces; however, it is difficult to estimate static poses that do not generate a vibration. This can be solved using active acoustic sensing; however, this method is not suitable for emitting some vibrations around the head in terms of the influence of audition. Therefore, we propose a method for estimating head poses using body-conducted sound naturally and regularly generated in the human body. The support vector classification recognizes vertical and horizontal directions of the head, and we confirmed the feasibility of the proposed method through experiments.
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