The head mouse — Head gaze estimation "In-the-Wild" with low-cost inertial sensors for BMI use

The head mouse — Head gaze estimation "In-the-Wild" with low-cost inertial sensors for BMI use
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头鼠——使用低成本惯性传感器进行“野外”头部注视估计,供 BMI 使用

DOI:
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发表时间:
2013
期刊:
International IEEE/EMBS Conference on Neural Engineering
影响因子:
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通讯作者:
A. Faisal
A. Faisal
中科院分区:
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文献类型:
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作者:
Nigel G. D. Sim;Constantinos Gavriel;W. Abbott;A. Faisal

文献摘要

被引文献

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我们提出了一种可穿戴的头部跟踪设备,使用廉价的惯性传感器作为替代头部运动跟踪系统。这可以用作脑机接口(BMI)应用的人类运动意图的指示器。我们的系统能够以高速率(100 Hz)跟踪头部运动,并实现R2 = 0.99,RMSE为2.5°,与地面真实运动跟踪系统相比。该系统在几十分钟的时间内跟踪头部运动,几乎没有漂移。我们的系统的准确性和精确性,以及其200 ms的低响应延迟,使其成为一个非传统但有效的人机界面系统:“头部鼠标”控制鼠标光标在显示器上的基础上的头部方向单独,使其匹配的中心直视用户。我们的头鼠适用于截肢者和脊髓损伤患者失去控制他们的上肢。我们表明,天真的测试对象能够写文本使用我们的系统和屏幕上的键盘在4.65字/分钟的速度,相比健全的用户使用物理计算机鼠标,达到7.85字/分钟。至关重要的是,我们测量健全的计算机用户的自然头部运动,并表明我们的方法属于自然头部运动参数的范围内的福尔斯。
We present a wearable head-tracking device using inexpensive inertial sensors as an alternative head movement tracking system. This can be used as indicator of human movement intentions for Brain-Machine Interface (BMI) applications. Our system is capable of tracking head movements at high rates (100 Hz) and achieves R2 = 0.99 with a 2.5° RMSE against a ground-truth motion tracking system. The system tracks head movements over periods in the order of tens of minutes with little drift. The accuracy and precision of our system, together with its low response latency of ≈ 20 ms make it an unconventional but effective system for human-computer interfacing: the "head mouse" controls the mouse cursor on a display based on head orientation alone, so that it matches the centre of a straight-onward looking user. Our head mouse is suitable for amputees and spinal chord injury patients who have lost control of their upper extremities. We show that naive test subjects are capable to write text using our system and an on-screen keyboard at a rate of 4.65 words/minute, compared to able bodied users using a physical computer mouse which reached 7.85 words/minute. Crucially we measure the natural head movements of able bodied computer users, and show that our approach falls within the range of natural head movement parameters.