61 citations · 122 across the 4 of their papers we have counts for
5 papers
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles
Avinash Prabu, Renran Tian, Lingxi Li +3
The development of fully autonomous vehicles (AVs) can potentially eliminate drivers and introduce unprecedented seating design. However, highly flexible seat configurations may le…
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Xianghao Zhan, Yiheng Li, Yuzhe Liu +11
Objective: Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients m…
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
Xianghao Zhan, Yiheng Li, Yuzhe Liu +12
Brain tissue deformation resulting from head impacts is primarily caused by rotation and can lead to traumatic brain injury. To quantify brain injury risk based on measurements of…
Relationship between brain injury criteria and brain strain across different types of head impacts can be different
Xianghao Zhan, Yiheng Li, Yuzhe Liu +10
Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different types of head impacts (e.g., sport…
Multi-directional dynamic model for traumatic brain injury detection
Kaveh Laksari, Michael Fanton, Lyndia C. Wu +13
Traumatic brain injury (TBI) is a complex injury that is hard to predict and diagnose, with many studies focused on associating head kinematics to brain injury risk. Recently, ther…