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Tri-axial reaction forces (TRF), which support body mass and provide dynamic propulsion, are critical to improve motion stability, gait transitions, and energy efficiency in legged motions of both humans and robots. The accurate and robust sensing of TRF presents significant challenges due to the cyclic and high-impact loads. Existing commercial sensors with rigid encapsulation have a heavy weight and poor wearability, while flexible sensors with conformal capability are susceptible to damage under cyclic impacts due to complex structure and stress concentration between flexible and hard interfaces. This article proposes a flexible magnetoelastic sensing method that couples three-dimensional elastomer deformations with magnetic flux intensities to capture tri-axial load distributions. The locally-stiffened design mitigates stress concentration at the interfaces among soft elastomer, flexible substrate, and rigid chips. The plantar load sensing array is developed to measure loads up to 116, 113, and 433 kPa in the x-, y-, and z-axes, respectively, with durability validated by the 150 000-cycle compression test and 9-month clinical gait monitoring. The proposed method is illustrated with an immediate application to gait pattern identification, and it is anticipated to contribute to tri-axial force sensing in various scenarios, including but not limited to rehabilitation gait monitoring, legged robot navigation, and human–robot interaction.
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Guo et al. (2025) studied this question.
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