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Table 8 Day wise comparison of accuracies on Dataset2

From: CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments

Days

RF

HMM

ECOC (AB)

LSTM

AL

# of Act

 

Subject 1

 1

48.00%

39.00%

60.50%

54.25%

66.75%

13

2

51.33%

55.50%

64.67%

58.00%

71.33%

 3

78.00%

75.00%

91.00%

82.00%

88.00%

 4

55.14%

59.45%

69.43%

62.29%

76.57%

 5

40.67%

29.00%

48.00%

48.00%

56.33%

 6

62.29%

37.18%

75.57%

69.43%

73.71%

 7

52.23%

57.09%

61.64%

57.09%

71.73%

 8

43.44%

41.63%

64.67%

62.29%

70.22%

 9

46.76%

39.36%

62.76%

59.11%

70.22%

 10

48.00%

32.17%

69.43%

66.29%

76.57%

 11

52.23%

38.71%

76.57%

63.29%

69.43%

 12

51.33%

42.00%

58.00%

51.33%

64.67%

 13

40.86%

38.71%

55.14%

49.00%

62.29%

 14

59.11%

36.89%

69.22%

64.67%

75.78%

 15

40.31%

36.62%

48.00%

55.69%

59.54%

 16

32.00%

27.00%

53.00%

48.00%

58.00%

Avg

50.10%

42.83%

64.22%

59.42%

69.44%

 

Subject 2

 1

46.15%

38.46%

53.85%

53.85%

53.85%

9

 2

50.00%

37.50%

62.50%

50.00%

75.00%

 3

38.46%

30.77%

61.54%

53.85%

61.54%

 4

50.00%

41.67%

66.67%

58.33%

75.00%

 5

66.67%

58.33%

83.33%

75.00%

91.67%

 6

42.86%

35.71%

57.14%

50.00%

64.28%

 7

50.00%

42.86%

64.28%

57.14%

64.28%

 8

40.00%

40.00%

60.00%

50.00%

60.00%

 9

50.00%

40.00%

70.00%

60.00%

80.00%

 10

55.56%

33.33%

66.67%

55.56%

66.67%

 11

66.67%

66.67%

100.0%

83.33%

100.0%

 12

66.67%

55.56%

77.78%

66.67%

88.89%

 13

68.75%

62.50%

81.25%

75.00%

87.50%

 14

45.45%

45.45%

63.64%

54.54%

72.73%

 15

50.00%

37.50%

75.00%

62.50%

87.50%

 16

50.00%

50.00%

66.67%

50.00%

66.67%

Avg

52.33%

44.77%

69.39%

66.43%

74.72%

  1. RF, Random Forest; HMM, Hidden Markov Model; ECOC, Error Correcting Output Codes; AB, AdaBoost; LSTM, Long-Short Term Memory Networks; AL, Associative Learning; # of Act, Number of Activities