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用户上下文计算作为普适计算的核心技术之一在学术界引起了广泛的重视,但目前并没有通用的用户上下计算模型.该文中笔者基于嵌入式生物特征识别技术提出了一个适用于普适环境的用户上下文计算模型.该模型通过生物特征识别来确定用户身份,并以此作为用户身份的唯一标识进行用户上下文历史的查找,最后将查找结果与本地环境相融合,完成用户意图预测.该文对模型的体系结构做了详细的阐述和理论上的分析.“,”User's context computing,one of the most important technologies in pervasive computing,is being payed more and more attention by academician. However,there is not a uniform model for user'context awareness.The author put forward a model by associating embeded biometrics identification with user'context computing in this paper. Biometrics works as the primary key to identify a user,which is uesd to search the uers' context.Then the model fulfills the forecasting of the uers' intention in according with the current environment. In this paper,the author will discribe this new model in detail, and what 's more a theoretic analysis also will be been given.