论文标题
长期记忆的基于传感器的连续手势识别
Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory
论文作者
论文摘要
本文旨在通过长期记忆（LSTM）提出一种基于传感器的新型连续手势识别算法。该算法仅需要基本的加速器和/或陀螺仪。给定一系列输入感官数据，采用了多到多的LSTM方案来产生输出路径。然后根据观察到的最终分类结果的路径进行最大后验估计。已经实施了基于智能手机的原型系统进行性能评估。实验结果表明，所提出的算法是鲁棒和准确的手识别的有效替代方法。
This article aims to present a novel sensor-based continuous hand gesture recognition algorithm by long short-term memory (LSTM). Only the basic accelerators and/or gyroscopes are required by the algorithm. Given a sequence of input sensory data, a many-to-many LSTM scheme is adopted to produce an output path. A maximum a posteriori estimation is then carried out based on the observed path to obtain the final classification results. A prototype system based on smartphones has been implemented for the performance evaluation. Experimental results show that the proposed algorithm is an effective alternative for robust and accurate hand-gesture recognition.
