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1 情 報 処 理 学 会 インタラクション 2012 IPSJ Interaction Interacti 2012/3/16 3 Hierarchical Annotation Management Method for Activity Information Gathering System Yuichi HATTORI, Syota TANAKA and Sozo INOUE Recently, the researches of activity recognition with sensor data are increased by the spread of smart phones with 3-axis accelerometers and gyroscopes. However, gathering various sensor data from many people is difficult. To solve this problem, we developed activity gathering platform using various client software. Moreover, annotating the data of continuous activities is also an important task. However, this task requires a large amount of it is done by hands. Moreover, an activity has a complex structure, and annotation by human often contains ambiguity. For this reason, a system needs to support so that a worker may add annotation efficiently and correctly. Therefore, we propose the annotation software which has the function of hierarchical segmentation and hierarchical annotation as a precise and invariant method Kyushu Institute of Technology 475

2 Berchtold 1) ActiServ 1 ALKAN Fig. 1 ALKAN overview Herren 2) 20 HASC Challenge 3) HASC Challenge ALKAN 4),5) ALKAN iphone ipod Touch ALKAN 1 ALKAN 476

3 2.2 6) 7) 2.3 HASC Tool 8) ALATA 9) 3. 2 Fig. 2 Platform overview timestamp(milli),x,y,z , , , , , , , , , , , , , , , Fig. 3 Sample of accelerometer data ALKAN XML ID ID ID (Hz) Android m/s 2 iphone G(1G = m/s 2 ) RAW 3 1 Unix (msec) X Y Z 3.2 Web 477

4 4 Fig. 4 Sample of client software on an emulator 3.3 iphone Android API API ( 1 ) ( 2 ) ( 3 ) ( 4 ) Fig. 5 Annotation software using video ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) 4.2 7) N T N 478

5 N N 1, N 2,, N N 0 < N 1 < < N N T N1,, T NN T Ni, T Nj i < j i j t i t 1, t 2 T Ni t 1 t < t 2 [t 1, t 2 ] s i (t). 4.3, G (DAG) G = (V, E) V E E V V V E s i (t) l i ( 1 ) V l i ( 2 ) i s j (t) l j (l i, l j ) E ( 3 ) i s k (t) l k (l k, l i ) E s i (t) ( 1 ) i s j (t) l j (l, l j ) E l ( 2 ) i s k (t) l k (l k, l) E l G G G 5. 1) M. Berchtold, M. Budde, D. Gordon, H. R. Schmidtke, and M. Beigl. Actiserv: Activity recognition service for mobile phones, In Proceedings of the Fourteenth International Symposium on Wearable Computers (ISWC 2010), 479

6 6 Fig. 6 Sample of proposal method ) R. Herren, A. Sparti, K. Aminian, and Y. Schutz. The prediction of speed and incline in outdoor running in humans using accelerometry. Medicine & Science in Sports & Exercise, 31(7):1053 9, ) Nobuo Kawaguchi, Ying Yang, Tianhui Yang, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio, HASC Challenge: Gathering Large Scale Human Activity Corpus for the Real-World Activity Understandings, Proc. Augmented Human Conference, 1-5, March, ),,,,,, (DICOMO2010), pp , July 6, 2010, Gifu, Japan. 5) Yuichi Hattori, Sozo Inoue, Go Hirakawa, Osamu Sudo. Gathering Large Scale Human Activity Information Using Mobile Sensor Devices, International Workshop on Network Traffic Control, Analysis and Applications (NTCAA-2010), pp , Fukuoka, Japan, ) 27 UBI USN July ) Sozo Inoue, Yuichi Hattori, Toward Highlevel Activity Recognition from Accelerometers on Mobile Phones, Proc. IEEE International Conferences on Cyber, Physical and Social Computing (CPSCom 2011), 7 pages, Dalian, China, October 19, ) Nobuo Kawaguchi, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Distributed Human Activity Data Processing Using HASC Tool, Proceedings of the 13th International Conference on Ubiquitous Computing(UbiComp2011), pp , ) ALATA 31 UBI pp July

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HASC2012corpus HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus HASC2012corpus 1 1 1 1 1 1 2 2 3 4 5 6 7 HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus: Human Activity Corpus and Its Application Nobuo KAWAGUCHI,

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