Research Article
A Novel Deep Learning Approach for Recognizing Stereotypical Motor Movements within and across Subjects on the Autism Spectrum Disorder
Table 4
Results of experiments 2, 3, and 4 in time and frequency domains on 6 subjects of Study1 and Study2 datasets.
| | | Study1 | Study2 | |
| | Experiments | S1 | S2 | S3 | S4 | S5 | S6 | S1 | S2 | S3 | S4 | S5 | S6 | Mean |
| Time domain | Cross-domain transfer learning | 71.66 | 74.40 | 66.80 | 90.69 | 61.87 | 92.19 | 81.35 | 58.13 | 35.66 | 88.44 | 73.98 | _ | 72.29 | Within-domain transfer learning | 75.37 | 76.44 | 56.53 | 91.74 | 63.37 | 92.76 | 84.86 | 62.97 | 41.60 | 93.32 | 80.55 | _ | 74.50 | Simple CNN | 74.88 | 74.52 | 71.90 | 91.56 | 64.46 | 93.95 | 87.48 | 67.62 | 50.21 | 92.61 | 81.96 | _ | 77.38 |
| Frequency domain | Cross-domain transfer learning | 74.50 | 91.56 | 43.77 | 93.11 | 76.03 | 94.20 | 85.16 | 74.67 | 66.98 | 93.66 | 83.99 | _ | 79.78 | Within-domain transfer learning | 90.54 | 97.22 | 83.86 | 95.24 | 86.19 | 98.45 | 92.71 | 90.49 | 84.99 | 97.99 | 92.22 | _ | 91.81 | Simple CNN | 94.40 | 80.85 | 60.17 | 93.32 | 79.66 | 94.73 | 88.59 | 83.78 | 66.67 | 94.77 | 85.29 | _ | 83.84 |
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