In-house monitoring of elders and automatic fall detection using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. The efforts of building such systems have been spanning for decades, but there still is a lot of room for improvement. This paper proposes a novel approach to make a successful monitoring and assistive services for elderly. Moreover, we present our current progress of data collection, parameters extraction and parameters selection that are essential phases of our project. Our results on the data demonstrate that the proposed system methods are efficient and accurate and can be easily used in a real fall detection system.