Key result
A workplace behavior monitoring system using ballistocardiographic signals from chair cushions demonstrated potential for classifying body motions in a preliminary test of 12 subjects.
Why the study?
Workplace stress can damage employee physical and mental health, and successful management relies on effectively monitoring everyday behaviors.
A novel chair-based ballistocardiographic monitoring system can classify employee movements and monitor cardiovascular activity to potentially aid in workplace stress management.
Answers are grounded in this paper and cite their sources.
Should not yet inform workplace monitoring practices; hypothesis-generating for chair-based ballistocardiography in occupational health.
Workplace stress may cause severe damage to employees' physical and mental health. Successful stress management closely depends on the effective monitoring of peoples everyday behaviors. In this paper, we design a workplace behavior monitoring system that collects the ballistocardiographic (BCG) signals using piezoelectric sensors mounted inside the cushions of office chairs. In addition to being able to reflect the body displacement along with the ventricle contraction, the BCG signals also contain multiple sources of interferences, and thus can be used to detect the modes of the body motions. An ensemble machine learning scheme is developed to classify the BCG waveform into several categories, including off-seat, sedate, working and in motion. When an employee is in a sedate position, the BCG samples can be further processed to observe the cardiovascular activities. These temporal classified results can be analyzed to establish the individual employee's office profile. Compared with the recorded baseline, early intervention is made possible when needed. The proposed system has been tested with 12 subjects, and the preliminary results demonstrate its potential application in the real world workplace environment.
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Ding et al. (2019) studied Workplace behavior (n=12). Workplace behavior monitoring system using ballistocardiographic (BCG) signals was evaluated on Classification of BCG waveform into behavior categories (off-seat, sedate, working, in motion). A workplace behavior monitoring system using ballistocardiographic signals from chair cushions demonstrated potential for classifying body motions in a preliminary test of 12 subjects.
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