A mobile human activity recognition system

Context-aware applications have been the focus of extensive research, yet their implementation in mobile devices usually becomes challenging due to restrictions of processing and energy. In this work, we present, demonstrate, and evaluate a mobile platform for real-time human activity recognition. The evaluation results indicate that the system can be implemented in real scenarios meeting accuracy, response time, and energy consumption requirements.