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
-
Designing a Smart Garment for Dynamic Sitting Reminders
by: Yujie Hou, et al.
Published: (2025-05-01) -
Developments in the Field of Textile-Based Sensors: An Overview
by: Derya Tama Birkocak, et al.
Published: (2024-05-01) -
Improving work in garment design and production among secondary school students: A case study of Textiles Technology Design subject at Advanced Level in Zimbabwe
by: Sindisiwe Dube, et al.
Published: (2024-08-01) -
Role of Soft Robotics in 4D Clothing Assembly and Custom Fit: A Review
by: Emmanuel C. Eze
Published: (2025-06-01) -
Multi-Zipper and Convertible Female Garments: A Case for Garment Construction
by: Celestine Elikem Nyawovor, et al.
Published: (2019-06-01)