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Observational analysis reveals strong correlation between accelerometer data and overhead postures, indicating potential for improved field assessments.
OCCUPATIONAL APPLICATIONSAmong the three commonly used mathematical models for estimating overhead position from inclination data, the trigonometry model showed the most consistent alignment with in-lab motion capture data, with no statistically significant differences observed. Strong correlations were found between accelerometer-based wearable and inclination outputs during upright drilling and hammering tasks involving shoulder elevation above 150°. While no statistically significant differences were observed between observational and inclination-based estimates of overhead frequency, discrepancies were present in overhead duration estimates. These findings suggest that, with appropriate signal processing and modeling techniques, inclination data collected at the upper arm may offer a practical approach for estimating overhead exposures in field research. This method could support more refined monitoring and assessment of overhead work, potentially informing interventions aimed at reducing musculoskeletal strain and improving worker safety.
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Valerio et al. (2025) studied this question.
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