使用手指安装的加速度计精确解码材料
Accurate decoding of materials using a finger mounted accelerometer
摘要：
感觉反馈是运动控制和学习背后的基本驱动力。然而，低成本和有效的感觉反馈技术仍然是中风康复和假肢设计的一大挑战。在这里，我们展示了安装在手指上的低成本加速度计可以在触摸过程中提供许多日常生活材料的准确解码。我们首先设计了一个定制的触摸分析系统，使我们能够为人类参与者提供不同的触摸材料，同时控制接触力和触摸速度。然后，我们收集了六名参与者的数据，他们接触了七种日常生活材料-塑料，软木，羊毛，铝，纸，牛仔布，棉花。我们使用线性稀疏逻辑回归，并表明可以从加速度计记录中对材料进行分类，在触摸后7秒内，材料和参与者的准确率为88%。
英文摘要：
Sensory feedback is the fundamental driving force behind motor control and learning. However, the technology for low-cost and efficient sensory feedback remains a big challenge during stroke rehabilitation, and for prosthetic designs. Here we show that a low-cost accelerometer mounted on the finger can provide accurate decoding of many daily life materials during touch. We first designed a customized touch analysis system that allowed us to present different materials for touch by human participants, while controlling for the contact force and touch speed. Then, we collected data from six participants, who touched seven daily life materials-plastic, cork, wool, aluminum, paper, denim, cotton. We use linear sparse logistic regression and show that the materials can be classified from accelerometer recordings with an accuracy of 88% across materials and participants within 7 seconds of touch.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
