Eccarius Petra, Bour Rebecca, Scheidt Robert A
Indiana University School of Medicine / Marquette University.
Sign Lang Linguist. 2012;15(1):39-72. doi: 10.1075/sll.15.1.03ecc.
In sign language research, we understand little about articulatory factors involved in shaping phonemic boundaries or the amount (and articulatory nature) of acceptable phonetic variation between handshapes. To date, there exists no comprehensive analysis of handshape based on the quantitative measurement of joint angles during sign production. The purpose of our work is to develop a methodology for collecting and visualizing quantitative handshape data in an attempt to better understand how handshapes are produced at a phonetic level. In this pursuit, we seek to quantify the flexion and abduction angles of the finger joints using a commercial data glove (Glove; Immersion Inc.). We present calibration procedures used to convert raw glove signals into joint angles. We then implement those procedures and evaluate their ability to accurately predict joint angle. Finally, we provide examples of how our recording techniques might inform current research questions.
在手语研究中，我们对手语发音因素（这些因素涉及塑造音位边界）以及不同手型之间可接受的语音变异量（和发音性质）了解甚少。迄今为止，尚未有基于对手语产生过程中关节角度的定量测量而对手型进行的全面分析。我们这项工作的目的是开发一种收集和可视化定量手型数据的方法，以便更好地理解在语音层面上手型是如何产生的。在这个过程中，我们试图使用商用数据手套（手套；Immersion公司）来量化手指关节的弯曲和外展角度。我们展示了用于将原始手套信号转换为关节角度的校准程序。然后我们实施这些程序并评估它们准确预测关节角度的能力。最后，我们提供一些示例，说明我们的记录技术如何为当前的研究问题提供信息。
