Smart home systems are becoming increasingly popular. Engineering such systems hence becomes a prominent software engineering challenge.In this specific engineering paradigm,users are often interested in considering sensor states while they are performing various activities. Existing works have proposed initial efforts on incremental development method with activity-oriented requirements. However, there is no systematic way of ensuring reliability and security of such systems which may be developed incrementally by various developers and may execute in a complex environment. Some properties, especially those including metric timing constraints, need to be satisfied. In this paper, we introduce ACTOM, a framework for identification of activity-oriented requirements and runtime verification.ACTOM supports the development of the mapping between activities and required sensor readings (activity-sensor mapping) based on the physical requirements of activities. At runtime, ACTOM receives results of activity recognition and is able to trigger actuators to provide the required physical conditions for the activities, as determined by the activity-sensor mapping. Moreover, ACTOM continuously monitors whether activity-sensor mapping holds over a time period during the activity. We plan to evaluate ACTOM with a case study in a smart home in which various activities are observed to show its effectiveness. The end product will be a systematic framework to facilitate the development of activity-oriented requirements and monitor properties related to metric timing constraints to improve reliability and security.