1.
*
* *
2016/07/08 DICOMO2016
7E-3

2.
Smart Home Team
1/2
2

3.
Smart Home Team
2/2
3
PC

4.
Smart Home Team
a b c d e f g h i j k l m n o p
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
=
=
=
=
=
=
=
= PC
=
=
=
=
=
=
=
=
←
→
→
→
→
100%
0%

5.
Smart Home Team
l 15
→
PC

6.
Smart Home Team
6
→

7.
Smart Home Team
7
1/2
• 3
6
[1]
→6 91.7%
•
[2]
[1] J. R. Kwapisz, G. M. Weiss, S. A. Moore: ”Activity Recognition using Cell Phone
Accelerometers,” ACM SIGKDD Explorations Newsletter, vol.12, no.2, pp.74- 82 (2010).
[2] , : , FIT2015( 14
), 14(4), pp.367-370, (2015).

8.
Smart Home Team
8
2/2
→ →
→
→
5
a
b
a
b
A B
A
B

9.
Smart Home Team
•
9
Samsung GALAXY S5
LG Watch Urbane
1 10
2

10.
Smart Home Team
10
10

11.
Smart Home Team
•
11
2015 10 (12 )
4 (20 4 )

12.
Smart Home Team
• 2
•
•
12

13.
Smart Home Team
• 10
0.5
10
1
10
10 1
1/2
13

14.
Smart Home Team
10
10
3 3 +4 =10
2/2
14

15.
Smart Home Team
• 1
•
10
10
15

16.
Smart Home Team
Random Forest leave-1-
day-out cross validation 1
16
:

17.
Smart Home Team
•
50.952 %
•
55.119 % ( + 4.167 % )
•
57.136 % ( + 6.184 % )
17

18.
Smart Home Team
18
0.595
0.648
0.679
0.509
0.551
0.571
0.479
0.528
0.548

19.
Smart Home Team
19
1/3
100%0%
→
→
→
→
→
→

20.
Smart Home Team
20
2/3
100%0%
→
→
→
→
→
→

21.
Smart Home Team
21
3/3
100%0%

22.
Smart Home Team
•
22

23.
Smart Home Team
•
•
•
•
23