Jakarta, INTI - Bahrudin, a First Expert Researcher at the Intelligent Mechatronics Research Center (PRMC) under the Electronics and Informatics Research Organization of the National Research and Innovation Agency (BRIN), has developed smart footwear as an intelligent mechatronics-based technology to detect human walking patterns (gait patterns). The device has strong potential for use in health monitoring and rehabilitation. He shared this during a scientific visit by Bina Sarana Informatika University (UBSI) at the BRIN Bandung Area on Monday, February 9, 2026.
According to Bahrudin, the smart footwear is designed to measure pressure distribution on the sole of the foot using sensors embedded inside the shoe insole. These sensors capture pressure when the foot touches the ground and then transmit the data wirelessly to a control system, where it is processed into gait pattern information for further analysis.
Data-Driven Detection of Walking Imbalances
“Each walking phase produces different pressure characteristics. From this gait pattern analysis, imbalances in load between the right and left feet can be objectively identified,” Bahrudin explained.
He further noted that such imbalances often go unnoticed because visually people feel they are walking straight. However, with a data-driven approach, walking conditions can be monitored more accurately than through visual observation alone. This information is crucial for health monitoring, particularly related to body mobility.
“Through continuously recorded data, a person’s walking pattern can be studied and compared over time. This opens opportunities for more measurable monitoring of walking conditions,” Bahrudin added.
Cloud Integration and Future Health Applications
The smart footwear technology is integrated with communication systems and the cloud through an application programming interface (API). This integration allows measurement data to be displayed and stored systematically, enabling further analysis and the development of future mobility-support technologies.
In its development process, this gait pattern analysis research forms part of PRMC BRIN’s efforts to deliver adaptive and applicable intelligent mechatronics technologies tailored to real-world needs. This approach positions technology not merely as a technical tool, but as a data-driven solution that supports improvements in human quality of life.
At the end of his presentation, Bahrudin expressed hope that the research would contribute to improving human health. “Through the development of smart footwear, BRIN continues to promote the use of data-based research and intelligent mechatronics technology to support more measurable and sustainable health monitoring and human mobility,” he said.
In his remarks, Sriyadi, Head of the Information Systems Study Program at UBSI, stated that the visit to BRIN provided hands-on experience in understanding how research is developed into beneficial technologies.
“This activity serves as a learning platform for students to better understand the research and innovation process and how research outcomes can be applied in everyday life,” Sriyadi concluded.
Conclusion
BRIN’s smart footwear innovation demonstrates how intelligent mechatronics and data analytics can transform health monitoring and rehabilitation. By enabling objective, continuous, and cloud-based gait analysis, the technology opens new possibilities for improving human mobility and long-term healthcare outcomes. As research continues, such innovations are expected to play a growing role in digital health solutions that are precise, sustainable, and accessible.
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