Smartphone-based Activity Recognition Independent of Device Orientation and Placement

• 作 者: HaodongGuo;LingChen;GencaiChen;MingqiLv;
• 机 构: College of Computer Science,Zhejiang University Hangzhou,China
• 出 处: 第十届和谐人机环境联合学术会议
• 发表日期: 2014年期

　　Traditional activity recognition methods based on accelerometers generally assume that the orientation and placement of sensing devices are fixed.However,the orientation and placement of mobile phones,the most widely used sensing devices in pervasive computing environments,usually cannot be controlled in daily lives.As a result,the activity recognition performance would be greatly affected.In this paper,an activity recognition method,which is based on smartphone and is independent of device orientation and placement,is proposed.First,the original 3D acceleration signals are mapped into a uniform reference coordinate system.Then,we apply multi-dimensional motifs discovery techniques to the smartphone-based activity recognition problem.Experimental results show that our method can achieve better performance (with 85.2% precision and 82.9% recall) than other methods under the condition of unfixed orientation and placement.