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Table 5 The average cross-testing accuracy and F1 scores, in parentheses, with domain adaptation for PAMAP2 and MHEALTH

From: Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity

 

Base Model

O’Halloran [13]

Wan [14]

Burns [15]

Chen/Jordao [10, 16]

Kalouris [17]

Yatbaz [18]

Rueda [19]

\(\begin{array}{l}\hbox {Source: P2 Aug} \\ \hbox {Target: MH Reorient}\end{array}\)

\(\begin{array}{l}14.17\\ (3.52)\end{array}\)

\(\begin{array}{l}77.39\\ (76.68)\end{array}\)

\(\begin{array}{l}43.15\\ (79.50)\end{array}\)

\(\begin{array}{l}80.21\\ (79.70)\end{array}\)

\(\begin{array}{l} 88.37\\ (86.85)\end{array}\)

\(\begin{array}{l}80.72\\ (80.89)\end{array}\)

\(\begin{array}{l}73.50\\ (73.03)\end{array}\)

\(\begin{array}{l}70.50\\ (69.96)\end{array}\)

\(\begin{array}{l}\hbox {Source: MH Aug} \\ \hbox {Target: P2 Reorient}\end{array}\)

\(\begin{array}{l}49.55\\ (40.21)\end{array}\)

\(\begin{array}{l}63.01\\ (62.46)\end{array}\)

\(\begin{array}{l}63.17\\ (54.15)\end{array}\)

\(\begin{array}{l}75.96\\ (76.05)\end{array}\)

\(\begin{array}{l} 76.01\\ (74.27)\end{array}\)

\(\begin{array}{l}77.12\\ (75.34)\end{array}\)

\(\begin{array}{l}64.82\\ (64.80)\end{array}\)

\(\begin{array}{l}15.81\\ (4.32)\end{array}\)

  1. The data augmentation notation applies to the MHEALTH and PAMAP2 source datasets. ‘PD Reorient’ indicates PD data with sensor axes reoriented to match the source data