Abstract: Indoor falls and related injuries have been major health threats for older adults. To better support seniors living independently at home, the study proposed an interaction design solution for fall detection cameras in smart homecare scenarios. In this paper, we conducted an offline survey of older adults (n=422) in six cities across China and a scenario-based participatory design workshop (n=6), in order to explore their needs and preferences for fall detection camera functionality and interaction. The research concluded that older adults prefer multi-modal interaction design combining voice and GUI through the thematic analysis method. Based on optimization suggestions for the rescue process and functional demands from older participants, we enriched the features of smart home cameras, such as preset basic disease information and data sharing with doctors. Finally, according to the research results, we designed the interaction process and GUI interface of the camera based on the platform of the WeChat mini program, to provide reference for related studies.