添加智能环境传感器

　　添加智能环境传感器

　　今天，环境传感器必须超越传统的检测气体的作用，监测湿度和气压，并计数粒子在液体中的域的水文、气象等不同，与国土安全。传感器融合，其中的信息从多个不同的传感器相结合，考虑到这些设备周围的环境属性，现在可以使感知的推论是关于事件和情况-在传感器工作的上下文。

　　例如，传感器融合是在不断增长的可穿戴市场中发挥着重要的作用。通过结合传统的环境传感器与其他传感器设备，设计人员可以开发智能系统，使机器相互交流和周围的世界。从陀螺仪，加速度计，接近传感器，环境光传感器和位置传感器，与手腕磨损的脉冲速率传感器相结合的信息，可以用来推断一个用户正在做什么-运行，行走，睡眠等，执行一些自动化任务。

　　Since users of wearables are continually in motion， their various activities influence the conditions sensors must operate within. A mobile device’s GPS may track a location， but it may also need to be aware that the user is now walking. The device must be able to constantly track the user from one environment to the next throughout the day， adjusting as the user moves from a home orientation to work， and back again.

　　Designing a wearable system for healthcare， fitness， and sports training is a complex undertaking. The integration of multiple sensor capabilities requires more in the way of security， reliability， and performance than a traditional stand-alone device. It also demands smaller packaging and diminished weight; it must be small enough to fit into tiny host devices， require very little in the way of power and processing and， of course， it has to be inexpensive. The underlying algorithms also must be able to adapt so that the sensors and the contexts within which they work can be reconfigured on the fly. Also important， they must feature high sensitivity and excellent noise immunity.