Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, State College, PA, 16802, USA.
Center for Neural Engineering, The Pennsylvania State University, University Park, State College, PA, 16802, USA.
Adv Sci (Weinh). 2024 Apr;11(15):e2303403. doi: 10.1002/advs.202303403. Epub 2024 Feb 13.
Communication with hand gestures plays a significant role in human-computer interaction by providing an intuitive and natural way for humans to communicate with machines. Ultrasound-based devices have shown promising results in contactless hand gesture recognition without requiring physical contact. However, it is challenging to fabricate a densely packed wearable ultrasound array. Here, a stretchable ultrasound array is demonstrated with closely packed transducer elements fabricated using surface charge engineering between pre-charged 1-3 Lead Zirconate Titanate (PZT) composite and thin polyimide film without using a microscope. The array exhibits excellent ultrasound properties with a wide bandwidth (≈57.1%) and high electromechanical coefficient (≈0.75). The ultrasound array can decipher gestures up to 10 cm in distance by using a contactless triboelectric module and identify materials from the time constant of the exponentially decaying impedance based on their triboelectric properties by utilizing the electrostatic induction phase. The newly proposed metric of the areal-time constant is material-specific and decreases monotonically from a highly positive human body (1.13 m s) to negatively charged polydimethylsiloxane (PDMS) (0.02 m s) in the triboelectric series. The capability of the closely packed ultrasound array to detect material along with hand gesture interpretation provides an additional dimension in the next-generation human-robot interaction.
手势交流在人机交互中起着重要作用,为人类与机器的交流提供了直观自然的方式。基于超声的设备在无需物理接触的情况下,在非接触式手势识别方面取得了有前景的成果。然而,制造密集型可穿戴超声阵列仍然具有挑战性。在这里,展示了一种使用表面电荷工程在预充电的 1-3 型锆钛酸铅(PZT)复合材料和薄聚酰亚胺薄膜之间制造紧密排列的换能器元件的可拉伸超声阵列,而无需使用显微镜。该阵列具有出色的超声性能,宽带宽(≈57.1%)和高机电耦合系数(≈0.75)。该超声阵列可以通过使用非接触式摩擦电模块来识别距离可达 10 cm 的手势,并根据其摩擦电特性基于指数衰减阻抗的时间常数来识别材料,利用静电感应相位。基于面积的时间常数的新提出的度量标准是材料特异性的,并且在摩擦电序列中从高度正的人体(1.13 m/s)单调递减到带负电的聚二甲基硅氧烷(PDMS)(0.02 m/s)。这种紧密排列的超声阵列检测材料的能力以及对手势解释的能力为下一代人机交互提供了额外的维度。