Measurement noise recommendation for efficient Kalman filtering over a large amount of sensor data
To effectively maintain and analyze a large amount of real-time sensor data, one often uses
a filtering technique that reflects characteristics of original data well. This paper proposes a …
a filtering technique that reflects characteristics of original data well. This paper proposes a …
Individualized estimation of human core body temperature using noninvasive measurements
S Laxminarayan, V Rakesh, T Oyama… - Journal of Applied …, 2018 - journals.physiology.org
A rising core body temperature (Tc) during strenuous physical activity is a leading indicator
of heat-injury risk. Hence, a system that can estimate Tc in real time and provide early …
of heat-injury risk. Hence, a system that can estimate Tc in real time and provide early …
Kalman filtering with model uncertainties
In the classical Kalman filter theory, one of the key assumptions is that a priori knowledge of
the system model, which represents the actual system, is known without uncertainty. Our …
the system model, which represents the actual system, is known without uncertainty. Our …
Wearable Data Assimilation to Estimate the Circadian Phase
The circadian clock is an internal timer that coordinates the daily rhythms of behavior and
physiology, including sleep and hormone secretion. Accurately tracking the state of the …
physiology, including sleep and hormone secretion. Accurately tracking the state of the …
A posteriori estimation of stochastic model for multi-sensor integrated inertial kinematic positioning and navigation on basis of variance component estimation
Improving a priori stochastic models of the process and measurement noise vectors in
Kalman Filer (KF) has always been a challenge. As one preferable technique to address this …
Kalman Filer (KF) has always been a challenge. As one preferable technique to address this …
A fusion algorithm for saccade eye movement enhancement with EOG and lumped-element models
Electrooculography (EOG) can be used to measure eye movements while the eyelids are
open or closed and to assist in the diagnosis of certain eye diseases. However, challenges …
open or closed and to assist in the diagnosis of certain eye diseases. However, challenges …
Robust Kalman filter‐based least squares identification of a multivariable system
R Doraiswami, L Cheded - IET Control Theory & Applications, 2018 - Wiley Online Library
A novel direct identification using the residual model of Kalman filter (KF) is proposed for
multiple‐input and multiple‐output Box–Jenkins model of the system formed of the signal …
multiple‐input and multiple‐output Box–Jenkins model of the system formed of the signal …
A level set kalman filter approach to estimate the circadian phase and its uncertainty from wearable data
The circadian clock is an internal timer that coordinates the daily rhythms of behavior and
physiology, including sleep and hormone secretion. Accurately tracking the state of the …
physiology, including sleep and hormone secretion. Accurately tracking the state of the …
A Fusion Algorithm Based on a Constant Velocity Model for Improving the Measurement of Saccade Parameters with Electrooculography
Electrooculography (EOG) serves as a widely employed technique for tracking saccadic eye
movements in a diverse array of applications. These encompass the identification of various …
movements in a diverse array of applications. These encompass the identification of various …
Incorporating snowmelt into daily estimates of recharge using a state‐space model of infiltration
AM Shapiro, FD Day‐Lewis, WM Kappel… - …, 2022 - Wiley Online Library
A state‐space model (SSM) of infiltration estimates daily groundwater recharge using time‐
series of groundwater‐level altitude and meteorological inputs (liquid precipitation …
series of groundwater‐level altitude and meteorological inputs (liquid precipitation …