Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
Department of Information and Communication Engineering, Sejong University, Seoul 05006, Korea.
Sensors (Basel). 2021 May 25;21(11):3682. doi: 10.3390/s21113682.
Recent advancements in telecommunications and the tactile Internet have paved the way for studying human senses through haptic technology. Haptic technology enables tactile sensations and control using virtual reality (VR) over a network. Researchers are developing various haptic devices to allow for real-time tactile sensation, which can be used in various industries, telesurgery, and other mission-critical operations. One of the main criteria of such devices is extremely low latency, as low as 1 ms. Although researchers are attempting to develop haptic devices with low latency, there remains a need to improve latency and robustness to hand sizes. In this paper, a low-latency haptic open glove (LLHOG) based on a rotary position sensor and min-max scaling (MMS) filter is proposed to realize immersive VR interaction. The proposed device detects finger flexion/extension and adduction/abduction motions using two position sensors located in the metacarpophalangeal (MCP) joint. The sensor data are processed using an MMS filter to enable low latency and ensure high accuracy. Moreover, the MMS filter is used to process object handling control data to enable hand motion-tracking. Its performance is evaluated in terms of accuracy, latency, and robustness to finger length variations. We achieved a very low processing delay of 145.37 μs per finger and overall hand motion-tracking latency of 4 ms. Moreover, we tested the proposed glove with 10 subjects and achieved an average mean absolute error (MAE) of 3.091∘ for flexion/extension, and 2.068∘ for adduction/abduction. The proposed method is therefore superior to the existing methods in terms of the above factors for immersive VR interaction.
近年来,电信和触觉互联网的发展为通过触觉技术研究人类感官铺平了道路。触觉技术通过网络使用虚拟现实 (VR) 实现触觉感知和控制。研究人员正在开发各种触觉设备,以实现实时触觉感知,可用于各种行业、远程手术和其他关键任务操作。此类设备的主要标准之一是极低的延迟,低至 1 毫秒。尽管研究人员试图开发具有低延迟的触觉设备,但仍需要提高延迟和对手型的鲁棒性。本文提出了一种基于旋转位置传感器和最大-最小缩放 (MMS) 滤波器的低延迟触觉开放式手套 (LLHOG),以实现沉浸式 VR 交互。所提出的设备使用位于掌指 (MCP) 关节处的两个位置传感器检测手指的弯曲/伸展和内收/外展运动。使用 MMS 滤波器处理传感器数据,以实现低延迟并确保高精度。此外,MMS 滤波器用于处理对象处理控制数据,以实现手部运动跟踪。从准确性、延迟和对手指长度变化的鲁棒性方面评估其性能。我们实现了非常低的处理延迟,每个手指为 145.37 μs,整体手部运动跟踪延迟为 4 ms。此外,我们用 10 名受试者对所提出的手套进行了测试,实现了弯曲/伸展的平均均方根误差 (MAE) 为 3.091∘,内收/外展的平均 MAE 为 2.068∘。因此,与现有的方法相比,该方法在沉浸式 VR 交互方面具有上述优势。