ArticleFrontiers in digital health2026
Smartphone-based vestibular & gait analysis for remote fall risk assessment.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Dizziness and vertigo are among the most common reasons for clinical consultation worldwide and represent key risk factors for falls, particularly in neurologic and neuroorthopedic patient populations. Early identification of balance and gait impairments is therefore relevant for fall prevention. However, access to established diagnostic tools such as video-oculography (VOG) and motion analysis systems remains limited due to cost, technical complexity, and the need for specialized personnel, especially in resource-constrained settings. This work proposes a conceptual framework for smartphone-based assessment of vestibular function and gait stability, aimed at supporting fall-related screening concepts. The approach is designed to integrate near-infrared eye tracking with inertial measurement unit (IMU)-based motion analysis within a unified smartphone-based sensing environment, enabling mobile and scalable applications. The framework outlines methods for extracting oculomotor and biomechanical features, including vestibulo-ocular behavior and gait stability metrics such as Triangular Area Variability (TAV) and inter-limb symmetry. In addition, it introduces the use of virtual anatomical reference points (S1,
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