IEEE Int Conf Rehabil Robot. 2023 Sep;2023:1-6. doi: 10.1109/ICORR58425.2023.10304768.
The use of vibrotactile feedback is of growing interest in the field of prosthetics, but few devices fully integrate this technology in the prosthesis to transmit high-frequency contact information (such as surface roughness and first contact) arising from the interaction of the prosthetic device with external items. This study describes a wearable vibrotactile system for high-frequency tactile information embedded in the prosthetic socket. The device consists of two compact planar vibrotactile actuators in direct contact with the user's skin to transmit tactile cues. These stimuli are directly related to the acceleration profiles recorded with two IMUS placed on the distal phalanx of a soft under-actuated robotic prosthesis (Soft-Hand Pro). We characterized the system from a psychophysical point of view with fifteen able-bodied participants by computing participants' Just Noticeable Difference (JND) related to the discrimination of vibrotactile cues delivered on the index finger, which are associated with the exploration of different sandpapers. Moreover, we performed a pilot experiment with one SoftHand Pro prosthesis user by designing a task, i.e. Active Texture Identification, to investigate if our feedback could enhance users' roughness discrimination. Results indicate that the device can effectively convey contact and texture cues, which users can readily detect and distinguish.
振动触觉反馈在假肢领域越来越受到关注,但很少有设备能将这项技术完全集成到假肢中,以传输假肢与外部物品相互作用产生的高频接触信息(如表面粗糙度和首次接触)。本研究描述了一种可穿戴的高频触觉信息振动触觉系统,该系统嵌入在假肢接受腔中。该设备由两个紧凑的平面振动触觉执行器组成,它们与用户的皮肤直接接触,以传递触觉提示。这些刺激与记录在软驱动机器人假肢(Soft-Hand Pro)远端指骨上的两个 IMUS 的加速度曲线直接相关。我们通过对 15 名健全人参与者进行心理物理测试来对系统进行特征描述,参与者通过计算与食指上传递的振动触觉提示的区分相关的可察觉差异(JND)来完成任务,这些提示与对不同砂纸的探索有关。此外,我们对一位 SoftHand Pro 假肢使用者进行了一项试点实验,通过设计一项任务(主动纹理识别)来研究我们的反馈是否可以增强用户对粗糙度的感知。结果表明,该设备可以有效地传达接触和纹理线索,用户可以轻松地检测和区分这些线索。