Stress and Recovery Signatures from Wearable Biosignal Data in the Production Environment

Open Access
Article
Conference Proceedings
Authors: Lucas PalettaWolfgang WeissCiprian AlexandrescuDiana NastaseMichael SchneebergerMartin PszeidaSandra DraxlerJochen A MosbacherHerwig Zeiner
Abstract

Production work involves time pressure, variable workload, and shift schedules that may contribute to sustained psychophysiological strain. Wearable sensing can support continuous, low-burden monitoring of stress and recovery and may inform resilience-oriented workplace interventions. This pilot study examined stress and recovery signatures in an industrial electronics production context by combining multi-day wearable biosignal tracking with validated self-assessments. Sixteen employees, predominantly shopfloor operators, participated in a one-week field study across four shifts, including two day shifts and two night shifts. The sample included 8 women and 8 men (M age = 47.3 years, SD = 10.7). Participants wore a biosignal tracker during work, leisure time, and sleep. Measures included heart rate, heart rate variability[DS1.1][l1.2] (HRV), baseline calibration during sitting and standing, and questionnaires assessing resilience, perceived stress, well-being, affect, and short-term recovery-stress states. Analytics of wearable data focused on shift-level HRV changes and rule-based bouncing-back features, including stress peaks, peak amplitude, and recovery time. Results indicated mostly normal-to-high resilience, low-to-normal perceived stress, and generally preserved well-being, although some participants showed reduced well-being and high perceived stress. The short version of Perceived Stress Scale (PSS-4) total scores were negatively associated with HRV, and day shift analyses linked decreasing HRV to increasing mental strain. Additionally, the rate of stress peaks that caused long-term recovery periods was positively associated with the change in short-term physical-strain scores. The findings support the feasibility of wearable biosignal analytics for exploratory stress and recovery assessment in production work.

Keywords: Wearable Biosignal Sensors, Occupational Stress, Resilience, Recovery Time, HRV, Bouncing-back Features, Production Work

DOI: 10.54941/ahfe1007373

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