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 | |