Determining the Acceleration Field of a Rigid Body Using Three Accelerometers and One Gyroscope, With Applications in Mild Traumatic Brain Injury

Abstract Acceleration–deceleration mild traumatic brain injury (mTBI) arises when the head experiences rapid motions, as in sports and military training. The risk of mTBI strongly correlates with the head’s kinematics, motivating the development of wearable devices that can reconstruct them. Accelerometer-only (AO) algorithms (such as Rahaman et al., 2020, J. Mech. Phys. Solids, 143, p. 104014; Padgaonkar et al., 1975, J. Appl. Mech., 42(3), pp. 552–556) are attractive for they enable the wearables based on them to comprehensively reconstruct the kinematics while at the same time being stable, and not requiring the numerical differentiation of angular velocities. However, the AO algorithms require their accelerometers not to lie in a plane. This greatly limits the scope and adoptability of their wearables, since they can no longer have a headband-style design. In this work, we present a new algorithm that employs three accelerometers and a gyroscope, which we term the A3G1 algorithm. It has all the aforementioned attractive features of the AO algorithms. Additionally, it allows its sensors to lie in a plane. We provide a mathematical proof that the only constraint on the A3G1’s sensors placement is that its three accelerometers do not lie on a line. We experimentally demonstrate the algorithm’s utility and robustness by applying it in a mock soccer-header exercise.

Authors

Institutions

Publication Details

Journal
Journal of Applied Mechanics
Published
2026-02-03
DOI
https://doi.org/10.1115/1.4071002
Citations
1
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
31.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining the Acceleration Field of a Rigid Body Using Three Accelerometers and One Gyroscope, With Applications in Mild Traumatic Brain Injury

Benjamin Efram Grossman-Ponemon, Haneesh Kesari, Yang Wan
1 citations
Journal of Applied Mechanics
Traumatic Brain Injury Research
31.52
article

Determining the Acceleration Field of a Rigid Body Using Three Accelerometers and One Gyroscope, With Applications in Mild Traumatic Brain Injury

Benjamin Efram Grossman-Ponemon, Haneesh Kesari, Yang Wan
article en
1 citations

Abstract

Abstract Acceleration–deceleration mild traumatic brain injury (mTBI) arises when the head experiences rapid motions, as in sports and military training. The risk of mTBI strongly correlates with the head’s kinematics, motivating the development of wearable devices that can reconstruct them. Accelerometer-only (AO) algorithms (such as Rahaman et al., 2020, J. Mech. Phys. Solids, 143, p. 104014; Padgaonkar et al., 1975, J. Appl. Mech., 42(3), pp. 552–556) are attractive for they enable the wearables based on them to comprehensively reconstruct the kinematics while at the same time being stable, and not requiring the numerical differentiation of angular velocities. However, the AO algorithms require their accelerometers not to lie in a plane. This greatly limits the scope and adoptability of their wearables, since they can no longer have a headband-style design. In this work, we present a new algorithm that employs three accelerometers and a gyroscope, which we term the A3G1 algorithm. It has all the aforementioned attractive features of the AO algorithms. Additionally, it allows its sensors to lie in a plane. We provide a mathematical proof that the only constraint on the A3G1’s sensors placement is that its three accelerometers do not lie on a line. We experimentally demonstrate the algorithm’s utility and robustness by applying it in a mock soccer-header exercise.

Journal of Applied MechanicsVol. 93(4)
John Brown University (US), John Carroll University (US)
Openalex Percentile: Top 1%
Traumatic Brain Injury Research
31.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.