BP4D: 4D Spontaneous Facial Expression Database
4D Spontaneous Facial Expression Database
Background:
Because posed and un-posed (aka “spontaneous”) 3D facial expressions differ along several dimensions including complexity and timing, well-annotated 3D video of un-posed facial behavior is needed. The BP4D dataset comprises videos of spontaneous facial expressions in a diverse...
Published: 12/29/2023
|
Inventor(s): Lijun Yin
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Artificial Intelligence, Campus > Binghamton University
|
BP4D+ Multimodal Spontaneous Emotion Database
Well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants.
Background:
In the last 10 years, research on facial expression analysis has shifted its focus from posed behavior to non-posed (i.e., spontaneous) behavior. This shift has increased the difficulty of such analyses, but also their ecological validity...
Published: 1/5/2024
|
Inventor(s): Lijun Yin
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Information Technology, Campus > Binghamton University
|
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Novel algorithm uses biological signals to determine the authenticity of videos
Background:
In recent years, technology development of deep learning has advanced to the level of high realism in creating synthetic videos. Such deep fake videos pose a big threat to video authentication for security, safety, privacy protection, as well as health-care...
Published: 1/6/2024
|
Inventor(s): Umur Ciftci, Lijun Yin, Ilke Demir
Keywords(s): #SUNYresearch, Tech, Technologies
Category(s): Campus > Binghamton University, Technology Classifications > Artificial Intelligence
|
MMSE-HR dataset (Multimodal Spontaneous Expression-Heart Rate dataset)
Heart rate estimation from face videos
Background:
Recent studies in computer vision have shown that, while practically invisible to a human observer, skin color changes due to blood flow can be captured on face and can be used to estimate heart rate (HR). While considerable progress has been made in the last few years, still many issues remain...
Published: 1/5/2024
|
Inventor(s): Lijun Yin
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Artificial Intelligence, Technology Classifications > Healthcare IT, Campus > Binghamton University
|
Heart Rate Estimation from Face Videos
Usingaself-adaptive matrix heart rate etimation from face videos is improved.
Background:
Recent studies in computer vision have shown that, while practically invisible to a human observer, skin color changes due to blood flow can be captured on face videos and be used to estimate the heart rate (HR). These subtle changes encompass both color...
Published: 7/21/2021
|
Inventor(s): Lijun Yin
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Diagnostics, Technology Classifications > Computers, Campus > Binghamton University
|
Real Time Hand Tracking and Pointing for Human Interaction
A technology that provides an accurate hand pointing estimation system for human-computer interactions.
Background:
Hand gesture is an efficient means for humans interacting with computers. Pointing gesture can resolve ambiguities derived from the verbal communication, thus opening up the possibility of humans interacting or communicating intuitively...
Published: 9/28/2023
|
Inventor(s): Lijun Yin, Shaun Canavan, Kaoning Hu
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University
|
Real Time Eye Tracking for Human Computer Interaction
A technology that captures the direction the eyes point to while the subject is away from the camera for intuitive human-computer interfaces
Background:
The ideal human-computer interaction system should function robustly with as few constraints as those found in human-to-human interaction. One of the most effective means of interaction is through...
Published: 9/26/2023
|
Inventor(s): Lijun Yin, Michael Reale
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University
|