# Identification of potential improvement assembly movements using worker classification by motion capture and machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identification-of-potential-improvement-assembly-movements-using-worker/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ryuto Kawane,Hiromasa Ijuin,Koki Karube,Masao Sugi,Tomohiro Nakada,Tetsuo Yamada |
| Citations | 0 |
| DOI | 10.1109/iwcia59471.2023.10335866 |
| Fields | Engineering,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4389544901 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Koki Karube](https://scholariq.org/researchers/koki-karube/)

## Paper primary topic

- [Assembly Line Balancing Optimization](https://scholariq.org/topics/assembly-line-balancing-optimization/)

## Paper topics

- [Assembly Line Balancing Optimization](https://scholariq.org/topics/assembly-line-balancing-optimization/)
- [Occupational Health and Safety Research](https://scholariq.org/topics/occupational-health-and-safety-research/)
- [Advanced Manufacturing and Logistics Optimization](https://scholariq.org/topics/advanced-manufacturing-and-logistics-optimization/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.