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20232026
most citedComplex Number Assignment in the Topology Method for Heartbeat Interval Estimation Using Millimeter-Wave Radar

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Deformation-Aware Observation Modeling for Radar-Based Human Sensing via 3D Scan-Depth Sequence Fusion

Guangqi Shi, Kimitaka Sumi, Takuya Sakamoto

Non-contact radar-based human sensing is often interpreted using simplified motion assumptions. However, respiration induces non-rigid surface deformation of the human body that im…

eess.SP2025

Physiology-Informed Multivariate Variational Mode Decomposition for Orientation-Robust Sensing Using Distributed Millimeter-Wave Radar Systems

Kimitaka Sumi, Takuya Sakamoto

This study proposes a robust non-contact physiological sensing method using distributed radar systems to address the challenges arising from varying body orientations. Conventional…

eess.SP2025

Simulation for Noncontact Radar-Based Physiological Sensing Using Depth-Camera-Derived Human 3D Model with Electromagnetic Scattering Analysis

Kimitaka Sumi, Takuya Sakamoto

This study proposes a method for simulating signals received by frequency-modulated continuous-wave radar during respiratory monitoring, using human body geometry and displacement…

eess.SP2024★ 1 cited

Accurate Radar-Based Heartbeat Measurement Using Higher Harmonic Components

Itsuki Iwata, Kimitaka Sumi, Yuji Tanaka +1

This study proposes a radar-based heartbeat measurement method that uses the absolute value of the second derivative of the complex radar signal, rather than its phase, and the var…

eess.SP2023★ 2 cited

Complex Number Assignment in the Topology Method for Heartbeat Interval Estimation Using Millimeter-Wave Radar

Yuji Tanaka, Kimitaka Sumi, Itsuki Iwata +1

The topology method is an algorithm for accurate estimation of instantaneous heartbeat intervals using millimeter-wave radar signals. In this model, feature points are extracted fr…