Running shoes

What if your shoes could monitor your health? (PeopleImages.com - Yuri A/Shutterstock)

In a nutshell

  • A self-powered smart insole system developed by researchers in China and the U.S. uses solar energy and built-in sensors to monitor foot pressure and movement in real time, no external battery required.
  • The insole can accurately detect eight different motion states (like walking, running, sitting, and squatting) using machine learning, and may help prevent serious conditions like diabetic foot ulcers and monitor diseases like Parkinson’s.
  • Its flexible, durable design, and ability to operate for an hour after just six minutes of sunlight, makes it a promising breakthrough for daily health monitoring, rehabilitation, and personalized care.

COLUMBUS, Ohio — Forget clunky fitness trackers. A team of international scientists have created a wireless, self-powered smart insole that could revolutionize how we monitor movement and potentially prevent serious health issues—all while you simply walk around.

A new study published in Science Advances explains how this smart insole system accurately measures pressure distribution across the foot during various activities. The technology combines remarkable accuracy with self-sustaining power, making it particularly promising for medical information.

“Our bodies carry lots of useful information that we’re not even aware of,” says study author Jinghua Li from Ohio State University, in a statement. “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.”

Wearable insole-based pressure sensor systems have gained attention for continuous gait monitoring, showing potential for preventing, diagnosing, and treating conditions such as lumbar degenerative disease and diabetic foot ulcers. For people with diabetes, the insoles could potentially detect high-pressure areas on the foot before they develop into dangerous ulcers. For those with Parkinson’s disease or those recovering from stroke, the system could assess abnormalities in gait to guide treatment.

The smart insole system
The smart insole system (Credit: Science Advances)

But until now, most smart insoles have struggled with accuracy, durability, and battery life, making them hard to use in real-world settings. The new system solves these problems through clever engineering. The pressure sensor uses a nonlinear synergistic strategy, achieving remarkable linearity and high durability (over 180,000 compression cycles). This means the insole provides consistent, reliable measurements even after extensive use, equivalent to months of daily walking.

It even charges itself while you’re outside, storing solar energy in a built-in battery, so you don’t need to plug it in. The insole is powered by flexible solar panels and packed with 22 tiny pressure sensors that track how weight is distributed across your foot. It sends that data to a smartphone in real time, creating a detailed map of your movements.

To keep things comfortable, the battery and electronics are tucked into the arch of the insole, where they won’t get in your way. The solar panels are built into the top of the shoe, where they can soak up sunlight as you walk.

This smart insole doesn’t just measure pressure; it actually understands what you’re doing. Thanks to built-in machine learning, it can tell whether you’re sitting, standing, walking, running, squatting, or even going up and down stairs. In total, it recognizes eight different movement types with 100% accuracy in testing.

Smart shoe
Scientists demonstrate how flexible the shoe’s materials are. (Credit: Science advances)

The researchers tested the system extensively, demonstrating that it can differentiate between normal walking and running patterns, as well as identify variations in standing posture. The insole successfully recognized differences between regular stance, bow-legged stance, and knock-kneed stance.

For people with diabetes, this technology could be super helpful. Diabetes causes peripheral neuropathy and loss of protective sensation in the feet, making patients unaware of plantar pressure. Real-time monitoring of plantar pressure and timely adjustment of walking habits to reduce the burden on high-pressure areas aid in the prevention and healing of foot ulcers.

Patients with Parkinson’s disease could similarly benefit from this technology. Parkinson’s disease leads to muscle movement control disorders, which manifest as gait freezing and postural instability. Stroke results in asymmetrical limb movements, with lower plantar pressure and prolonged support time on the affected side. By tracking these patterns, healthcare providers could better assess disease progression and treatment efficacy.

The insole is flexible enough to withstand folding, twisting, and stretching without losing functionality. This durability, combined with the system’s ability to operate under various lighting conditions, makes it suitable for everyday use.

During testing, the system was impressive. After a quick six-minute charge under strong light (equivalent to outdoor sunlight), the insole could operate continuously for 60 minutes in an indoor environment.

The smartphone app accompanying the system also allows users to see pressure distribution as a color-coded map, track changes at specific points over time, or view high-resolution interpolated images of pressure across the entire foot.

With accurate sensing, self-powered operation, and intelligent data analysis, these smart insoles open possibilities far beyond simple fitness tracking. From clinical assessments to personalized treatment plans and biomechanics research, this smart insole system represents a significant step forward in wearable health technology.

Paper Summary

Methodology

The researchers developed a smart insole system incorporating 22 pressure sensors made of carbon nanotube/acetylene black/polydimethylsiloxane (CNT/ACET/PDMS) embedded in a flexible insole. These sensors use a nonlinear synergistic strategy to achieve linear response to pressure, converting mechanical pressure into electrical signals. The team designed flexible perovskite solar modules that convert solar energy into electrical energy, which is stored in lithium batteries to power the system. Data from the sensors is collected by an analog-to-digital converter and transmitted via Bluetooth Low Energy to a smartphone, where it’s visualized in real-time. The researchers also integrated a support vector machine (SVM) learning model to classify different motion states based on plantar pressure patterns.

Results

The pressure sensors demonstrated remarkable linearity (coefficient of determination R² > 0.999) across the entire sensing range (0-225 kilopascals) and maintained performance even after 180,000 compression cycles. The flexible solar cells showed high efficiency, with the perovskite solar module delivering consistent power output under various light conditions. When tested under real-world conditions, the system successfully differentiated between eight different motion states with 100% accuracy using the SVM model. The researchers demonstrated the system’s ability to visualize pressure distribution during various activities, including walking, running, and different standing postures, and showed that the system could operate continuously for 60 minutes after a 6-minute charge in strong light.

Limitations

While the smart insole system shows promise, some limitations exist. The perovskite solar cells’ environmental stability remains a challenge, with cells stored in air retaining only 50% of their initial power conversion efficiency after approximately 800 hours. This indicates that an encapsulation layer would be needed in practical applications to prevent the solar cells from encountering water and air. Additionally, the power conversion efficiency of the solar cells in this work (14.56%) falls short compared to the highest-performing solar cells recently reported, suggesting room for improvement in energy harvesting capabilities.

Funding and Disclosures

The research was supported by the National Natural Science Foundation of China, the Key Project of Natural Science Foundation of Gansu Province, the Gansu Province Joint Scientific Research Fund Project, the Key Research and Development Projects in Gansu Province, the State Key Laboratory of Flexible Electronics Technology, and the Supporting Fund for Young Researchers from Lanzhou University. The authors declared no competing interests.

Publication Information

The paper titled “A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing” was authored by Qi Wang, Hui Guan, Chen Wang, and colleagues from Lanzhou University in China and The Ohio State University. It was published in Science Advances (Volume 11, eadu1598) on April 16, 2025.

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2 Comments

  1. Sydney Ross Singer says:

    This is more over-medicalization of our lives. We want data for everything we do, so someone or some algorithm can analyze it, so we can be constantly medically managed. This is for obsessively worried people and exploits their anxiety about their health. Of course, the more you worry about health, the worse your health will be. So you see, it works…for the medical industry.

  2. Bill says:

    Is this technology commercially available and if so, what does it cos?