Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
复制标题
利用智能手机内置运动传感器进行身体活动识别
DOI：
10.1155/2013/481580
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发表时间：
2013-01-01
影响因子：
2.3
通讯作者：
Li, Ye
中科院分区：
文献类型：
--
作者：
He, Yi;Li, Ye
身体活动（PA）识别最近在公共医疗保健的活动监测中变得重要。虽然身体佩戴的传感器非常适合长时间收集活动模式的数据，但用户可能会忘记佩戴特殊的微传感器。相反，越来越多的人几乎随时都带着智能手机。目前，大多数流行的智能手机都有三个内置的运动传感器（三加速度计，陀螺仪和磁传感器），可以用来识别PA。本研究利用智能手机中的三个内置运动传感器来识别PA，并找出来自三个传感器的哪些特征对不同的PA有意义。采用Fisher判别比准则和J3准则相结合的方法进行特征选择.提出了一个包含14个分类器的层次分类器系统，并将其用于识别15个活动。从140个特征中选择了来自智能手机内置运动传感器的最佳特征。结果表明，加速度传感器对PA识别有重要作用，陀螺仪和方位传感器分别对人体姿态变化和福尔斯跌倒检测有效。95.03%的总分类准确率证明了利用智能手机内置的运动传感器来识别PA的可行性。
Physical activity (PA) recognition has recently become important in activity monitoring for the public healthcare. Although body-worn sensors are well suited to collect data on activity patterns for long periods of time, users may forget to wear special microsensors. On the contrary, more and more people take smartphone with them almost anytime. At present, most popular smartphones have three built-in kinematic sensors (triaccelerometer, gyroscope, and magnetic sensor) which could be utilized to recognize PA. This study utilized three built-in kinematic sensors in a smartphone to recognize PA and found out which features derived from the three sensors were significant to different PA. We used a combined algorithm of Fisher's discriminant ratio criterion and J 3 criterion for feature selection. A hierarchical classifiers system including fourteen classifiers was proposed and employed to recognize fifteen activities. The optimal features derived from the built-in kinematic sensors of the smartphone were selected from 140 features. The results indicated that the accelerometer was significant to PA recognition, while gyroscope and orientation sensor were effective to recognize the change of body posture and detect falls, respectively. The total classification accuracy of 95.03% demonstrated the feasibility of utilizing the built-in kinematic sensors of the smartphone to recognize PA.