Scalable networks of multimodal haptic arrays for plantar sensory substitution
Abstract
Feet provide essential sensory input, supporting body awareness for safe movement. The impairment of plantar sensation, arising in conditions such as stroke and spinal cord injury, has a major impact on mobility, balance, and quality of life. Substituting the sensation of plantar pressure to another area on the body with intact somatosensory abilities requires capabilities for fast, programmable delivery of haptic feedback. Here, we introduce a wireless network of skin-conformable, multimodal haptic arrays that deliver high-density thermal and vibrotactile patterns anywhere on the body. Central to this approach is a hybrid motor unit that independently controls thermal and mechanical stimulation, enabling 128 degrees of freedom across 64 addressable nodes. Electromechanical characterization establishes precise, simultaneous, and safe modulation of both modalities. Psychophysical experiments demonstrate reliable spatial discrimination of colocated heat and vibration. These haptic arrays form the receivers in a sensory substitution system that delivers patterns of vibrotactile stimulation to mirror the distribution of pressure recorded from an insole-based array of pressure sensors. Exploratory case studies in individuals with spinal cord injury and stroke demonstrate feasibility and suggest improved performance during standing balance and walking tests. Altogether, this work highlights the potential of information-rich cutaneous interfaces to substitute plantar sensation, expanding the scope of somatosensory engagement for rehabilitation, entertainment, and education.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (21)
Matthew T. Flavin
School of Electrical and Computer Engineering, Georgia Institute of Technology
Yu-Ting Huang
Dimitrios Simatos
Querrey-Simpson Institute for Bioelectronics, Northwestern University
Rui Hua
Department of Biochemistry and Structural Biology, University of Texas Health Science Center
Shreya Aalla
Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab
Jesse Cornman
PSYONIC
Richa Rai
Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab
Jihun Park
Querrey-Simpson Institute for Bioelectronics, Northwestern University
Chinmay Bandapalli
School of Electrical and Computer Engineering, Georgia Institute of Technology
Tara Saxena
Department of Mechanical Engineering, Northwestern University
Molly Henry
Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab
Joseph Harris
Kelly L. Breen
Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab
Jacob Trueb
Raden Schell
School of Electrical and Computer Engineering, Georgia Institute of Technology
Sam A. Allahverdi
School of Electrical and Computer Engineering, Georgia Institute of Technology
Fatimah Al-Najjar
Department of Mechanical Engineering, Northwestern University
Jae-Young Yoo
Querrey-Simpson Institute for Bioelectronics, Northwestern University
Aadeel Akhtar
PSYONIC
Arun Jayaraman
Max Näder Center for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab
John A. Rogers