Human Body 3D Scanning and VR Implementation Manual
Instructions on Creating 3D Human Models and Virtual Reality Implementation of Them Reported by: Sophia Franklin and Caleb Lee ACLab Students Mentors: Shuangjun Liu, Naveen Sehgal, Xiaofei Huang, and Isaac McGonagle YSP Summer 2019 Overvi..
- Posted by ostadabbas
- Posted in Research
Infant Pose Learning with Small Data
With the increasing maturity of the human pose estimation domain, its applications have become more and more broaden. Yet, the state-of-the-art pose estimation models performance degrades significantly in the applications that include novel su..
- Posted by ostadabbas
- Posted in Research
Quantifying the Notion of Bias in Face Inference Models
Overview: In this research, we present a general pipeline to interpret the internal representation of face-centric inference models. Our pipeline is inspired by the Network Dissection, which is a popular model interpretability pipeline that is..
- Posted by ostadabbas
- Posted in Research
IEEE VIP Cup 2021: Privacy-Preserving In-Bed Human Pose Estimation
[Sponsored by the IEEE Signal Processing Society] MOTIVATION Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their tim..
- Posted by Shuangjun Liu
- Posted in Research
Infant Video-Based State Estimation
If you are a USA-located parent of an infant under age one and want to participant in this data collection study (supported by an NSF grant and several industry awards), please email us at: aclabdata@northeastern.edu or fill out the sign up fo..
- Posted by ostadabbas
- Posted in Research,Uncategorized
Quantifying Infant Reach and Grasp
Instructions on Quantifying Infant Reach and Grasp Reported by: Victoria Berry, Franklin Chen, Muskan Kumar ACLab Students Mentors: Dr. Elaheh Hatami and Pooria Daneshvar YSP/REU Summer 2023 Abstract: In the United States, approximately 7% p..
- Posted by ostadabbas
- Posted in Research