Intelligent Seat: Tactile Signal-Based 3D Sitting Pose Inference
Name
3675094.3678374.pdf
Size
5.4 MB
Format
Adobe PDF
Checksum (MD5)
9196dbb86f0ea44c830d70f4d2caf4f1
Author(s)
Seong, Minwoo
Kim, Gwangbin
Lee, Jaehee
DelPreto, Joseph
Matusik, Wojciech
Rus, Daniela
Kim, SeungJun
Date Issued
October 5, 2024
Publisher
ACM|Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Citation
Seong, Minwoo, Kim, Gwangbin, Lee, Jaehee, DelPreto, Joseph, Matusik, Wojciech et al. 2024. "Intelligent Seat: Tactile Signal-Based 3D Sitting Pose Inference."
Version
Final published version
Abstract
Owing to people spending a large portion of their day sitting while working, commuting, or relaxing, monitoring their sitting posture is crucial for the development of adaptive interventions that respond to the user's pose, state, and behavior. This is because posture is closely linked to actions, health, attention, and engagement levels. The existing systems for posture estimation primarily use computer vision-based measurements or body-attached sensors; however, they are plagued by challenges such as privacy concerns, occlusion issues, and user discomfort. To address these drawbacks, this study proposed a posture-inference system that uses high-density piezoresistive sensors for joint reconstruction. Tactile pressure data were collected from six individuals, each performing seven different postures 20 times. The proposed system achieved an average L2 distance of 20.2 cm in the joint position reconstruction with a posture classification accuracy of 96.3%. Future research will focus on the development of a system capable of providing real-time feedback to help users maintain the correct sitting posture.
Description
UbiComp Companion ’24, October 5–9, 2024, Melbourne, VIC, Australia
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3675094.3678374
