Table 1 Characteristics of the participants

From: User training for machine learning controlled upper limb prostheses: a serious game approach

Acronym Sex Age Acquired limb loss? Own prosthesis Group Completed
P1 F 52 Yes Conventional 1 DoF Game No. Was excluded before pre-test due to poor socket fit
P2 F 39 No Conventional 1 DoF Conventional Yes
P3 M 59 No Conventional 1 DoF Game Yes
P4 M 47 Yes Conventional 1 DoF Conventional No. Dropped out during pre-test due to fatigue
P5 M 49 Yes Multi-articulate multiple DoFs Conventional Yes
P6 M 56 Yes Multi-articulate multiple DoFs Game Yes
P7 M 52 Yes Conventional 1 DoF Game No. Dropped out after baseline measure due to scheduling conflicts
P8 M 74 Yes Conventional 1 DoF Conventional No. Dropped out during baseline measure due to fatigue
  1. M male, F female, DoF degree of freedom, DoFs degrees of freedom, P participant number