@inproceedings{c8ff5e30e7a140e8969db6b4fef7d7d8,
title = "Situation Based Energy Management Framework on Mobile Devices",
abstract = "With the prevalent usage of mobile phones, energy saving has become a critical issue for manufacturers. Extended battery life with increasing battery capacity is a common solution for hardware-based improvements. However, energy efficient management mechanism has attracted matching attention. In this paper, we present a situation based energy management framework. First, we collect data of activities of daily living (ADL) and apply deep learning for training. Next, Long Short Term Memory (LSTM) of Recurrent Neural Network (RNN) is used as our forecasting model to predict what a user will do at a certain hour in a certain day. Such prediction model relies on sensor fusion in gesture detection, camera-based facial detection and touch events on LCD screen in dynamic contextual environment. Finally, an inference engine is used to recommend actions to be takes for energy saving by digesting the information gathered on previous two stages, static information collecting and dynamic detection. In order to show the performance of our framework, we make use of external hardware as assistance tool which is suggested by Google developer's website.",
keywords = "Activities of daily living (ADL), Energy management, Facial detection, Gesture recognition, LSTM, RNN, Sensor fusion",
author = "Yu, {Chen Yeou} and Oyeleke, {Richard O.} and Chang, {Carl K.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 ; Conference date: 23-07-2018 Through 27-07-2018",
year = "2018",
month = jun,
day = "8",
doi = "10.1109/COMPSAC.2018.10244",
language = "English",
series = "Proceedings - International Computer Software and Applications Conference",
pages = "284--289",
editor = "Claudio Demartini and Sorel Reisman and Ling Liu and Edmundo Tovar and Hiroki Takakura and Ji-Jiang Yang and Chung-Horng Lung and Ahamed, {Sheikh Iqbal} and Kamrul Hasan and Thomas Conte and Motonori Nakamura and Zhiyong Zhang and Toyokazu Akiyama and William Claycomb and Stelvio Cimato",
booktitle = "Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018",
}