Smart Insoles: Track Walk, Run & Stand Data
- A new system of smart insoles could soon provide wearers with personalized health insights.
- The device, developed at Ohio State university, uses 22 pressure sensors and small solar panels to monitor the wearer's unique biomechanics.Jinghua Li, assistant professor of materials science and...
- "Our bodies carry lots of useful details that we're not even aware of," Li said.
Smart insoles are revolutionizing health monitoring. These innovative devices, unveiled by Ohio State University, analyze your gait in real-time, perhaps detecting early signs of health issues. The smart insoles use 22 pressure sensors adn AI for accurate gait analysis and personalized insights. They can recognise various motion states, including walking, running, and standing, and are designed for durability, withstanding over 180,000 compression cycles. these smart insoles are powered by solar energy and could soon offer early warnings for conditions like plantar fasciitis and Parkinson’s. This technology also facilitates posture correction and injury prevention. News Directory 3 continues to bring you the latest in wearable health tech. Discover what’s next as these insoles become commercially available in the next few years.
Smart insoles Offer Early Health Warnings Through Gait Analysis
Updated June 21, 2025
A new system of smart insoles could soon provide wearers with personalized health insights. These smart insoles track a person’s gait in real time, possibly offering early warnings for conditions like plantar fasciitis and even Parkinson’s disease. The gait analysis is made possible through advanced technology and AI.
The device, developed at Ohio State university, uses 22 pressure sensors and small solar panels to monitor the wearer’s unique biomechanics.Jinghua Li, assistant professor of materials science and engineering at Ohio State, said the data is transmitted via Bluetooth to a smartphone for detailed analysis.
“Our bodies carry lots of useful details that we’re not even aware of,” Li said. “These statuses also change over time,so it’s our goal to use electronics to extract and decode those signals to encourage better self health care checks.”
Around 7% of Americans experience ambulatory difficulties. Previous attempts at creating wearable, insole-based pressure systems faced limitations in energy and performance. Li and Qi Wang, a doctoral student at Ohio State, focused on creating a durable, precise, and consistently powered device.
The system employs an advanced machine learning model to identify eight different motion states, from sitting and standing to running and squatting. The flexible and safe materials allow for continuous use. Solar cells convert sunlight into energy, stored in small lithium batteries.
The sensor distribution allows researchers to differentiate pressure patterns between activities like walking and running. During walking, pressure shifts sequentially from heel to toe. Running, however, applies pressure to almost all sensors concurrently.The duration of pressure submission also differs between the two activities.
In health care, these smart insoles can aid gait analysis, detecting early signs of foot pressure-related issues like diabetic foot ulcers, musculoskeletal disorders such as plantar fasciitis, and neurological conditions including Parkinson’s disease. The AI-powered system also facilitates personalized health management, offering real-time posture correction, injury prevention, and rehabilitation monitoring.
The smart insoles maintained performance after 180,000 cycles of compression and decompression, demonstrating thier durability. “The interface is flexible and quite thin, so even during repetitive deformation, it can remain functional,” Li said. “The combination of the software and hardware means it isn’t as limited.”
What’s next
Researchers anticipate commercial availability within three to five years. Future advancement will focus on improving gesture recognition through testing on diverse populations, according to Li.