On bed posture recognition with pressure sensor array system
On bed posture recognition with pressure sensor array system
复制标题
利用压力传感器阵列系统进行床上姿势识别
DOI：
10.1109/icsens.2016.7808623
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Yu Sun
中科院分区：
文献类型：
--
作者：
Qingquan Sun;Eli Gonzalez;Yu Sun
床上姿势的自动识别对于身体康复训练具有重要意义。本文提出了一种压力传感器阵列系统，以不引人注目地识别病人从疾病，受伤和手术恢复床上的姿势。在本文中，我们建议使用肢体集群来识别床上姿势，而不是使用全身压力图，因为肢体的形状和位置代表了自然界中的姿势。为了度量肢体簇的相似性，我们建议使用一个综合的距离度量，同时考虑物理距离和压力差。在识别阶段，应用基于加权肢体的识别方法。实验对象为15名不同性别、年龄和体重的受试者。实验表明，我们提出的系统和方法可以达到97.8%的识别率为典型的床上姿势。
Automated on bed posture recognition is of major importance to physical rehabilitation exercises. This paper presents a pressure sensor array system to unobtrusively recognize on bed postures for patients recovering from illness, injury and surgery. In this paper, we propose to use limb clusters to recognize on bed postures instead of using the whole body pressure map since the shapes and positions of limbs represent the postures in nature. To measure the similarities of limb clusters, we propose to use a comprehensive distance metric considering both physical distance and pressure difference. In the recognition phase, a weighted limb based recognition method is applied. The experiments are conducted with 15 subjects ranging from various gender, age and weight. The experiments have demonstrated that our proposed system and method can achieve a 97.8% recognition rate for typical on bed postures.