New electronic white cane for stair case detection and recognition using ultrasonic sensor
New electronic white cane for stair case detection and recognition using ultrasonic sensor
复制标题
使用超声波传感器进行楼梯检测和识别的新型电子白手杖
DOI：
10.14569/ijacsa.2013.040633
复制
发表时间：
2013
影响因子：
0.9
通讯作者：
D. Masmoudi
中科院分区：
文献类型：
--
作者：
Sonda Ammar Bouhamed;I. Kallel;D. Masmoudi
盲人需要一些帮助才能更安全地与环境互动。然后提出了一种新的设备，使他们能够用耳朵看世界。考虑到不仅系统要求，而且技术成本，我们使用，我们的工具的概念，超声波传感器和一个单目摄像头，使用户能够意识到潜在的障碍物的存在和性质。在本文中，我们只涉及使用一个超声波传感器来检测电子手杖的楼梯。在这方面，以前的工作没有考虑过这样的挑战。意识到对象识别系统的性能取决于对象表示和分类算法，我们在我们的系统中使用了超声波信号在频域中的一种表示：频谱图表示解释了信号的谱密度如何随时间变化，频谱表示显示了作为频率的函数的幅度，周期图表示估计了信号的谱密度。因此，从每个表示中提取的几个特征有助于分类过程。我们的系统进行了评估的一组超声信号的楼梯发生不同的形状。使用多类SVM方法，识别率为82.4%。
Blinds people need some aid to interact with their environment with more security. A new device is then proposed to enable them to see the world with their ears. Considering not only system requirements but also technology cost, we used, for the conception of our tool, ultrasonic sensors and one monocular camera to enable user being aware of the presence and nature of potential encountered obstacles. In this paper, we are involved in using only one ultrasonic sensor to detect stair-cases in electronic cane. In this context, no previous work has considered such a challenge. Aware that the performance of an object recognition system depends on both object representation and classification algorithms, we have used in our system, one representation of ultrasonic signal in frequency domain: spectrogram representation explaining how the spectral density of signal varies with time, spectrum representation showing the amplitudes as a function of the frequency, periodogram representation estimating the spectral density of signal. Several features, thus extracted from each representation, contribute in the classification process. Our system was evaluated on a set of ultrasonic signal where stair-cases occur with different shapes. Using a multiclass SVM approach, recognition rates of 82.4% has been achieved.