FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification. | ScholarDeck

Paper

FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.

New research · Physical Medicine & Rehabilitation

Sensors (Basel, Switzerland) · 3w

StudySensors (Basel, Switzerland)· Jul 2026

FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.

Kishore Vennela, Bukya Balaji, Mangali Chinna Chinnaiah … Mudasar Basha

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Assistive Technology & WearablesStudyQ2IF 5.0

FPGA-based wearable system classifies gait patterns with about 4 ms latency.

FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.

Kishore Vennela … Mudasar Basha

Sensors (Basel, Switzerland) · Jul 2026 · Q2 in General Medicine

Background

Gait symmetry analysis has emerged as an important tool in rehabilitation engineering and neurological disorder assessment, as it provides clinically relevant indicators of mobility impairment and gait abnormalities.

Results

results arrive fast enough for real time gait feedback during walking

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Conclusion

The proposed FPGA-based implementation provides low-latency, energy-efficient, and real-time gait analysis, making it well suited for wearable rehabilitation systems, assistive healthcare devices, and continuous mobility monitoring applications.

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