Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance.

Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance.
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DOI:
10.3390/s21041173
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发表时间:
2021-02-07
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Nataraj R
Nataraj R
中科院分区:
其他
文献类型:
--
作者:
Liu M;Wilder S;Sanford S;Saleh S;Harel NY;Nataraj R

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来自可穿戴设备的感官反馈可以有效地通过增强的信息和参与来学习更好的运动。在运动练习期间促进更大的用户认知对于在脑或脊髓创伤后的康复期间加速运动功能的获得至关重要。本初步研究提出了一种方法,使用仪器手套,利用机构感,或控制感,提供功能性抓地力的培训反馈。17名身体健全的受试者接受了我们实验室定制的传感器手套原型的培训和测试。该手套利用板载力和弯曲传感器来向人工神经网络提供输入,该人工神经网络预测“安全”抓握的实现。在训练过程中提供板载的视觉和听觉反馈,逐渐缩短的时间延迟,以诱导更大的机构有意绑定,或感知压缩之间的动作(把握)和感官后果(反馈)。训练后,受试者表现出显着减少(p < 0.05)的运动路径长度和完成时间的功能性任务,包括抓取-移动-放置的一个小物体。未来的工作将包括基于模型的算法来计算安全抓取,虚拟现实沉浸和临床人群测试。
Sensory feedback from wearables can be effective to learn better movement through enhanced information and engagement. Facilitating greater user cognition during movement practice is critical to accelerate gains in motor function during rehabilitation following brain or spinal cord trauma. This preliminary study presents an approach using an instrumented glove to leverage sense of agency, or perception of control, to provide training feedback for functional grasp. Seventeen able-bodied subjects underwent training and testing with a custom-built sensor glove prototype from our laboratory. The glove utilizes onboard force and flex sensors to provide inputs to an artificial neural network that predicts achievement of “secure” grasp. Onboard visual and audio feedback was provided during training with progressively shorter time delay to induce greater agency by intentional binding, or perceived compression in time between an action (grasp) and sensory consequence (feedback). After training, subjects demonstrated a significant reduction (p < 0.05) in movement pathlength and completion time for a functional task involving grasp-move-place of a small object. Future work will include a model-based algorithm to compute secure grasp, virtual reality immersion, and testing with clinical populations.
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