2007 ( 19 ) KALAS VDT VDT Visual Display Terminal VDT VDT VDT KALAS VDT KALAS KALAS : i

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1 2007 ( 19 ) KALAS VDT Rodney D.Van Meter tsu-no@ht.sfc.keio.ac.jp

2 2007 ( 19 ) KALAS VDT VDT Visual Display Terminal VDT VDT VDT KALAS VDT KALAS KALAS : i

3 Abstract of Bachelor s Thesis Construction of action forecast system by usesing vital information Academic Year 2003 Summary I propose KALAS that guesses the user s behavior and does the action support measuring user s energy and motivation to act in this thesis. Recent years,the personal computer spread by the development of the information technology at the people.the development of the information technology has an influence big as for the workplace environment by it, and has changed the starting work form. Though the VDT frequency in which it works increases and the business processing speed improved, the VDT worker s influence on the mind and body came to be put in question. As for the VDT work, body tiredness and mental tiredness are large. So the worker s load increased, and the improvement of the working environment was needed. The system to support the worker inside is few though various approachs and systems are designed for the working environment improvement. Then, KALAS understood the worker inside by using worker s living body information. The action forecast is done based on it. Thus, doing support that suits the worker s desire becomes possible, and the worker s load can be reduced. In this thesis, KALAS was mounted with a living body sensor, and it evaluated it. The energies level was in real time judged with a living body sensor, the action forecast was done, and movement support target became possible at the right time. It was shown that the forecast accuracy improved by building the energies level into the action forecast. The technique of management the worker inside was able to be established by introducing the energies level. Keywords: vital infomation behavior prediction vital level Autonomic fatigue Bayesian Networks Keio University Environmental information Ryuji Tsunoda ii

the development of the information technology has an influence big as for the workplace environment by it, and has changed the starting work form.

4 VDT VDT VDT VDT VDT VDT VDT VDT iii

.......................... 6 2.3.1................................ 6 2.3.2............................. 8 2.4....................................... 9 2.4.1............................. 9 2.5.

5 VDT KALAS iv

3................................. 29 4.4................................ 29 4.5.............................. 29 4.6................................. 29 4.7.............................. 29 4.8.

6 KALAS v

1...................................... 45 7.1.1........................... 45 7.1.2............................... 45 7.2...................................... 45 7.2.1.............................. 45 7.2.2.............................. 46 7.

7 DFD VDT kg RF-ECG JENGA vi

1................................. 28 4.2................................. 28 5.1 RF-ECG................................... 33 5.2.................................... 33 5.3........................................ 34 5.

8 1.1 1 VDT (%) VDT (%) K SPIDER IIIA SPIDER IIIA KALAS vii

1............................... 39 6.2...... 40 6.3............ 40 6.4.... 41 6.5............ 41 6.6 KALAS.................................... 41 6.7.

9 1 1.1 PC VDT Visual Display Terminal [11, 12] 1 VDT 1.1 VDT [8] VDT (%)

1 1 VDT (%) 1 1 2 2 4 4 6 6 1998 17.7 23.

10 KALAS VDT 3 4 KALAS 6 KALAS 7 2

11 2 VDT VDT VDT 3

12 2.1 VDT VDT VDT Visual Display Terminal IT PC VDT VDT VDT VDT [11, 12] VDT VDT VDT VDT VDT 2.1 VDT VDT 4

13 2.1 1 VDT (%) VDT VDT VDT VDT VDT 5

8 48.3 14.1 2.1 4 6 5.9 31.4 44.9 16.0 1.8 6 9.6 32.

14 VDT [6] 6

15 [2] [9] [5] [13] 7

16 DFD Data Flow Diagram [19] DFD DFD

17 VDT 9

18 3 10

19 VDT VDT VDT VDT 11

20 3.3.1 [8, 14]

21 VDT 3.2 VDT VDT 3.2 VDT 13

22 3.3.2 VDT VDT [11][12] VDT VDT VDT PC [15] VDT 3.3 [20]

23 3.4 70kg 3 [22]

25 3.6 5 H O R N

26 ( ) ( )

27 [7],

28 3.8 20

29 5 t n t n+1 t n+1 t n+2 t n+1 t n+2 1 K = K K 0 K < K < K < K < K

30 22

31 P (A B) P (B) P (B A) = P (A) VDT 23

32 3.6 [18] [4] VDT [21] VDT VDT VDT VDT VDT VDT VDT VDT VDT VDT 24

33 VDT 3.7 VDT 25

34 4 KALAS 26

35 4.1 KALAS KALAS KALAS KALAS 4.1 KALAS KALAS 3 X Y Z 3 KALAS KALAS KALAS

38 KALAS KALAS 30

39 5 KALAS KALAS KALAS 31

40 5.1 KALAS 5.1 JAVA 5.1 CPU Intel(R) Pentium(R) M (1700MHz) Memory 512MB OS Windows XP Professional JDK Java 2 Standard Edition Version RF-ECG 3 RF-ECG 3 USB 5.1 OStechnology Zigbee 5.2 SPIDER IIIA SPIDER IIIA RF Code RFID SPIDER IIIA 5.2, SPIDER IIIA 12V 100V 50/60Hz RS-232C 9600bps, 19200bps, 38400bps % 450g 10m 127mm 130mm 40mm MHz 32

41 5.1 RF-ECG SPIDER IIIA 3V CR2032 (500 V/m 3m ) % 20g 60mm 30mm 10mm MHz 33

42 RF-ECG AutonomicLevel CSV getautonomicslevel AutonomicLevel RF-ECG 3 Posture getchangeposture 5 t n t n+1 t n+1 t n+2 t n+1 t n+2 FatigueLevel 1 FatigueLevel 34

43 AutonomicLevel fatiguelevel VitalLevel getvitallevel VitalLevel RFID RFID

44 5.2.7 JENGA [1] JENGA 5.9 JAVA JENGA [3] 5.9 JENGA KALAS KALAS 36

45 6 KALAS KALAS 37

47 6.1.2 KALAS KALAS KALAS 6.2 KALAS KALAS VDT RF-ECG VDT. KALAS. KALAS

48 KALAS VDT 9. KALAS 5 KALAS

49 KALAS KALAS KALAS

50 6.3 KALAS A B C D E F /10 4/ KALAS 42

51 6.4 KALAS KALAS KALAS 43

52 7 KALAS 44

53 7.1 KALAS VDT 7.2 KALAS KALAS

54 KALAS 7.3 KALAS VDT VDT KALAS KALAS 46

55 HORN KMSF

56 [1] Masaya Kadota., [2] Yuji Maeda, Eiju Kimura, and Takumi Watanabe. Development of teleworking support system considering tsunagari [3] Naoya Namatame, [4] Kakuichi Shiomi and Shohzo HIROSE. Fatigue and drowsiness predictor for pilots and air traffic controllers [5],,.., [6],,,,,,. vdt., Vol. 48, No. 1, pp. 7 14, [7],,,,,,. vdt., [8],,,,,,,,. H109 vdt(visual display terminals) ( 2 )., Vol. 47, p. 429, [9], [10],,... MBE, ME, Vol. 102, No. 507, pp , [11] [12] [13],,,... SS,, Vol. 101, No. 240, pp , [14],. sympathetic skin response(ssr)., Vol. 11, No. 1, pp ,

57 [15] [16],,.., [17],,,,,.. IT, Vol. 1, No. 1, pp , [18] [19]. 1-5 dfd., Vol. 2001, pp , [20].., Vol. 10, No. 3. [21],,,,. Vdt [22],.. 49

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22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity