This paper reports a mobile application pre-launch scheme thatis based on user’s emotion. Smartphone application’s usage andsmartwatch’s internal sensors are exploited to predict user’s intension.User’s emotion can be extracted from the PPG sensor inthe smartwatch. In this paper, we extend previous App pre-launchservice with user’s emotion data. Applying machine learning algorithmto the training data, we can predict the application to beexecuted in near future. With our emotion context, we expect wecan predict user’s intension more accurately.