Activity Feature Solving Based on TF-IDF for Activity Recognition in Smart Homes

Algorithm 1

solveSEFFeature.

Input: , a set of activity instances

, set of SEF features

Output:

1. ;

2. Assign 0 to , where >=1 and k<=n, j>=1 and j<=m

3. ;

4. while(j<=m)

5. Extract the first activated sensor ;

6. Extract the last activated sensor ;

7. ; ;

8. while(k<=n)

9. if   is same to   then

10. ++;

11. end if

12. if   is same to   then

13. ++;

14. end if

15. ++;

16. end while

17. end while

18. return