Abstract: The identification of core technologies is an important part of technological innovation. Identifying the core technologies of AAL monitoring for the elderly plays a significant role in predicting the development trend of technology and improving the ability to cope with the technological needs of the aging society. The existing research focuses on analyzing the cross-impact relationship of techniques, and the core technology identification based on the cross-impact of technology has not been fully recognized and applied. In view of this, this paper puts forward a core technology recognition research framework based on cross-impact of technology, which is based on core technologies characters and technical cross-impact theory. Firstly, this paper describes the concept of "core technology", and analyzes the characteristics of core technologies; Secondly, in order to overcome the shortcomings of traditional PCIA algorithm in identifying core technology, which is difficult to directly apply conditional probability estimating the technological impact, we propose NPCIA algorithm to measure the cross-impact of technologies, and verify the effectiveness of NPCIA algorithm by analyzing the mature technology that the core technology already knows, and then put forward a core technology identification model based on NPCIA algorithm; Finally, the proposed model is applied to the AAL monitoring technology for the elderly and the effectiveness of the proposed core technology identification model is verified.