Makepeace Robert, Epps Julien
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5167-70. doi: 10.1109/EMBC.2015.7319555.
Analysis of movement using accelerometers mounted on the torso or limbs has shown good potential for the recognition of physical activities. However many contemporary lifestyle tasks are sedentary, and less is known about how these can be automatically characterized using movement signals. This paper proposes possibly the first system that employs head movement for recognizing different levels of mental activity and for discriminating between various kinds of sedentary and non-sedentary tasks. Results from analysis of a 20-participant database show that head movement is surprisingly indicative of cognitive load and discriminative between different task types, as well as exhibiting some sensitivity to the instant of task change. Given the possibility for wearing hats or glasses with embedded inertial measurement units, this suggests a range of interesting future applications, including monitoring of sedentary daily activities, and developing rough estimates of mental exertion.
使用安装在躯干或四肢上的加速度计对运动进行分析，已显示出在识别身体活动方面具有良好潜力。然而，许多当代生活方式任务都是久坐不动的，对于如何利用运动信号自动表征这些任务，人们了解得较少。本文提出了可能首个利用头部运动来识别不同程度的心理活动以及区分各种久坐和非久坐任务的系统。对一个有20名参与者的数据库进行分析的结果表明，头部运动惊人地表明了认知负荷，并且能够区分不同的任务类型，同时对任务变化时刻也表现出一定的敏感性。鉴于佩戴嵌入惯性测量单元的帽子或眼镜的可能性，这表明了一系列有趣的未来应用，包括监测久坐的日常活动以及对脑力消耗进行粗略估计。
