Assistive Technology Research

KEY FINDING: The proposed method achieved an overall accuracy of 96.86% in recognizing physical activities.

KEY FINDING: The machine learning models achieved high accuracy in predicting TAI item scores, with AUC values ranging from 0.79 to 0.94 and precisions over 0.87.

KEY FINDING: Functionality, assessed through the function subscale of PRWE scale, improved in both groups

KEY FINDING: Short-term exposure to both scenery and somatic VR environments resulted in a significant reduction in neuropathic pain intensity in people with spinal cord injury.

KEY FINDING: Caregivers using the RATD showed significantly smaller ranges of trunk flexion-extension, lateral bending, and axial rotation compared to using a mobile floor lift.

KEY FINDING: Participants showed improved physiological parameters such as phases of gait cycle, accompanied by significant improvement in all spatiotemporal and gait phase parameters.

KEY FINDING: VR can modulate the sense of ownership of the whole body or single body parts by altering the congruity of multisensory information.

KEY FINDING: The average reported displacement towards the projected image was 69.1 cm in Session 1 and 72.4 cm in Session 2, confirming the effectiveness of the novel FBI-paradigm.

KEY FINDING: The participant showed improved balance in specific standing positions, particularly when vision was limited.

KEY FINDING: End-effector RAGT significantly improved gait speed (10MWT) and endurance (6mWT) in SCI patients.