Wearable Sensor-Based Assessment of Occupational Workload During Coastal Gillnet Fishing: An Exploratory Field Study

Assessing occupational workload under dynamically unstable offshore conditions is challenging because physiological demands and biomechanical exposures may vary across tasks and may not be adequately characterized using a single measure. This exploratory field study characterized physiological, ergonomic, and kinematic workload during coastal gillnet fishing using an integrated assessment approach. Four fishermen (one captain and three crew members) were monitored during three fishing sessions under real offshore conditions. Heart rate, physical activity, ergonomic exposure using the Quick Exposure Check, and lumbar–pelvic kinematics using inertial measurement units were assessed across operational phases. Workload was temporally concentrated during hauling, with heart rate and physical activity increasing particularly during the mid-to-late hauling stages. Ergonomic exposure of the lower back, shoulder/arm, and neck also increased during hauling. Kinematic analysis revealed moderate trunk flexion accompanied by non-neutral flexion exposure of up to 28.62%, while the lumbar contribution to lumbar–pelvic motion frequently exceeded 50%. These findings suggest that integrating wearable sensing with ergonomic assessment may help characterize task-specific workload patterns that are not readily captured by average physiological intensity alone. This approach may support field-based occupational workload assessment in dynamically unstable working environments.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2026-09-29
DOI
https://doi.org/10.3390/app16199636
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Wearable Sensor-Based Assessment of Occupational Workload During Coastal Gillnet Fishing: An Exploratory Field Study

Kyung-Jin RYU, Yoo-Won LEE, Na-Dan Lim, Su-Hyung Kim et al.
Applied Sciences
Maritime Navigation and Safety
article

Wearable Sensor-Based Assessment of Occupational Workload During Coastal Gillnet Fishing: An Exploratory Field Study

Kyung-Jin RYU, Yoo-Won LEE, Na-Dan Lim, Su-Hyung Kim, Il-Young Yu, Seung-Hyun Lee, Kyoung-Yeol Jeong, Tae-Gyu Kim
article en

Abstract

Assessing occupational workload under dynamically unstable offshore conditions is challenging because physiological demands and biomechanical exposures may vary across tasks and may not be adequately characterized using a single measure. This exploratory field study characterized physiological, ergonomic, and kinematic workload during coastal gillnet fishing using an integrated assessment approach. Four fishermen (one captain and three crew members) were monitored during three fishing sessions under real offshore conditions. Heart rate, physical activity, ergonomic exposure using the Quick Exposure Check, and lumbar–pelvic kinematics using inertial measurement units were assessed across operational phases. Workload was temporally concentrated during hauling, with heart rate and physical activity increasing particularly during the mid-to-late hauling stages. Ergonomic exposure of the lower back, shoulder/arm, and neck also increased during hauling. Kinematic analysis revealed moderate trunk flexion accompanied by non-neutral flexion exposure of up to 28.62%, while the lumbar contribution to lumbar–pelvic motion frequently exceeded 50%. These findings suggest that integrating wearable sensing with ergonomic assessment may help characterize task-specific workload patterns that are not readily captured by average physiological intensity alone. This approach may support field-based occupational workload assessment in dynamically unstable working environments.

Applied SciencesVol. 16(19)
Pukyong National University (KR)
Life below water
Openalex Percentile: Top 16%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wearable Sensor-Based Assessment of Occupational Workload During Coastal Gillnet Fishing: An Exploratory Field Study — Kyung-Jin RYU, Yoo-Won LEE, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS