Crk Igor, Albinali Fahd, Gniady Chris, Hartman John
Computer Science Department, University of Arizona in Tucson, AZ 85719, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6885-8. doi: 10.1109/IEMBS.2009.5333609.
Recent research in ubiquitous and mobile computing uses mobile phones and wearable accelerometers to monitor individuals' physical activities for personalized and proactive health care. The goal of this project is to measure and reduce the energy demand placed on mobile phones that monitor individuals' physical activities for extended periods of time with limited access to battery recharging and mobile phone reception. Many issues must be addressed before mobile phones become a viable platform for remote health monitoring, including: security, reliability, privacy, and, most importantly, energy. Mobile phones are battery-operated, making energy a critical resource that must be carefully managed to ensure the longest running time before the battery is depleted. In a sense, all other issues are secondary, since the mobile phone will simply not function without energy. In this project, we therefore focus on understanding the energy consumption of a mobile phone that runs MIT wockets, physical activity monitoring applications, and consider ways to reduce its energy consumption.
普适计算和移动计算领域的最新研究利用手机和可穿戴式加速度计来监测个人的身体活动，以实现个性化和主动式医疗保健。该项目的目标是测量并降低长时间监测个人身体活动的手机的能源需求，此类手机在充电和接收信号受限的情况下运行。在手机成为远程健康监测的可行平台之前，必须解决许多问题，包括：安全性、可靠性、隐私性，以及最重要的能源问题。手机由电池供电，这使得能源成为一种关键资源，必须谨慎管理以确保在电池耗尽前运行时间最长。从某种意义上说，所有其他问题都是次要的，因为没有能源手机根本无法运行。因此，在本项目中，我们专注于了解运行麻省理工学院口袋设备（MIT wockets）和身体活动监测应用程序的手机的能源消耗情况，并考虑降低其能源消耗的方法。
