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Found 6 papers, 3 papers with code
BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
In contrast, we introduce BodyMAP, which jointly predicts the human body mesh and 3D applied pressure map across the entire human body.
BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image
We present a method that infers contact pressure between a human body and a mattress from a depth image.
Material Recognition via Heat Transfer Given Ambiguous Initial Conditions
We also found that robots can overcome this ambiguity using two temperature sensors with different temperatures prior to contact.
Material Recognition
Robotics
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
We describe a physics-based method that simulates human bodies at rest in a bed with a pressure sensing mat, and present PressurePose, a synthetic dataset with 206K pressure images with 3D human poses and shapes.
3D human pose and shape estimation
3D Human Shape Estimation
+1
3D Human Pose Estimation on a Configurable Bed from a Pressure Image
In this work, we present two convolutional neural networks to estimate the 3D joint positions of a person in a configurable bed from a single pressure image.
Deep Haptic Model Predictive Control for Robot-Assisted Dressing
The physical implications of dressing are complicated by non-rigid garments, which can result in a robot indirectly applying high forces to a person's body.
