Motion Classification With Embroidery Bend Sensors Using Multiple Zigzag-Stitch for Loose-Fitting Garments
This study proposes a wearable motion classification system by employing commercially available conductive threads and everyday garments. The unique feature of the proposed system is an embroidery bending sensor that does not necessitate tight-fitting with the body, which contrasts with traditional...
Saved in:
Main Authors: | Kaisei Minami, Yasuhiro Akiyama, Takuya Umedachi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816599/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Theoretical and methodological foundations for forensic commodity examination of garment products
by: Ya. O. Kulyk, et al.
Published: (2023-09-01) -
3D garment fit on solid and soft digital avatars – preliminary results
by: Elena Brake, et al.
Published: (2022-09-01) -
Optimizing model for agile product development in garment industry
by: Suhartini Suhartini, et al.
Published: (2025-01-01) -
Effects of a whole body compression garment on recovery after a heavy resistance
by: Ahmad Arbabı
Published: (2015-07-01) -
From fitness trackers to medical devices: wearable technologies
by: Zhi Zhou
Published: (2023-06-01)