Intelligent and Adaptive Control Applied to Powered Walkers

Intelligent and Adaptive Control Applied to Powered Walkers

The research is towards an advanced control and computer learning strategy that will intelligently drive a powered walker for people with walking disabilities. The aim of the control strategy is to provide powered assistance that optimally reduces the metabolic cost of walking. The goal of the proposed intelligent walker is to reduce the workload of walking, keeping this population walking longer, providing critical exercise, continued muscle development and improved quality of life.

Inclusion Criteria:

Typically developed subjects:

• No walking disabilities

Subjects with CP:

• Diagnosed with spastic CP
• GMFCS level II-III
• Ages 5-25 inclusive
• No surgeries in last 6 months
• Able to ambulate 40ft unaided (excluding walker)
• Understand and follow commands

Exclusion Criteria:

Typically developed subjects:

• Observed intramuscular pathology

Subjects with CP:

• Mental retardation
• Severe uncontrolled seizures
• Leg or foot surgery in last 12 months
• Surgery or significant injury in last 6 months affecting
• walking ability
• Inability to ambulate unassisted (other than walker) 40ft
• without stopping to rest
• Inability to understand or follow commands