添加智能環境傳感器

　　今天，環境傳感器必須超越傳統的檢測氣體的作用，監測濕度和氣壓，并計數粒子在液體中的域的水文、氣象等不同，與國土安全。傳感器融合，其中的信息從多個不同的傳感器相結合，考慮到這些設備周圍的環境屬性，現在可以使感知的推論是關于事件和情況-在傳感器工作的上下文。

　　例如，傳感器融合是在不斷增長的可穿戴市場中發揮著重要的作用。通過結合傳統的環境傳感器與其他傳感器設備，設計人員可以開發智能系統，使機器相互交流和周圍的世界。從陀螺儀，加速度計，接近傳感器，環境光傳感器和位置傳感器，與手腕磨損的脈沖速率傳感器相結合的信息，可以用來推斷一個用戶正在做什么-運行，行走，睡眠等，執行一些自動化任務。

　　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.