g 095 0.00 .05 000 00 0.00 E_HG 0.00 t.00 Q.00 D0 0.00 0.00 E0.B EWL 0.00 0.00 1.00 0.00 0.00 0.00 UST 000 0.00 000 099 0000.01 D.ST 000 0.00 0.00000 0.01 WALX 000 0.00 0.00a000.11 D.的 SS E HG EWL UST DST WALK 56▣ User1 User2 User3 User4 User5 (a)Activity Classifier performance. (a)Walking path. (b)Location accuracy for each user. Figure 3:System Evaluation. ter of Novel Software Technology and Industrialization.Jie Wu is supported in part by US National Science Foundation SETTING grants ECCS 1231461,ECCS 1128209,CNS 1138963,C- Moving Trace NS 1065444,and CCF 1028167.Lei Xie is the correspond- Step 15 ing author. REFERENCES 1.Sebastian Hilsenbeck,Dmytro Bobkov,Georg Schroth, Robert Huitl,and Eckehard Steinbach.2014. Sensors'data Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning.In Proc.of Ubicomp.IEEE. 2.TEXAS INSTRUMENTS.2014.SensorTag.(2014). http://www.ti.com.cn/tool/cn/cc2541dk-sensor. 3.He Wang,Souvik Sen,Ahmed Elgohary,Moustafa Farid,Moustafa Youssef,and Romit Roy Choudhury. 2012.No need to war-drive:unsupervised indoor localization.In Proc.of MobiSys.ACM. Figure 4:FootStep-Tracker App.(a) Activity Classifier performance. 56m 63m (a) Walking path. (b) Location accuracy for each user. Figure 3: System Evaluation. Figure 4: FootStep-Tracker App. ter of Novel Software Technology and Industrialization. Jie Wu is supported in part by US National Science Foundation grants ECCS 1231461, ECCS 1128209, CNS 1138963, CNS 1065444, and CCF 1028167. Lei Xie is the corresponding author. REFERENCES 1. Sebastian Hilsenbeck, Dmytro Bobkov, Georg Schroth, Robert Huitl, and Eckehard Steinbach. 2014. Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning. In Proc. of Ubicomp. IEEE. 2. TEXAS INSTRUMENTS. 2014. SensorTag. (2014). http://www.ti.com.cn/tool/cn/cc2541dk-sensor. 3. He Wang, Souvik Sen, Ahmed Elgohary, Moustafa Farid, Moustafa Youssef, and Romit Roy Choudhury. 2012. No need to war-drive: unsupervised indoor localization. In Proc. of MobiSys. ACM