3 documents found, page 1 of 1
Respiratory inductance plethysmography to assess fatigability during repetitive...
Silva, Luís; Dias, Mariana; Folgado, Duarte; Nunes, Maria; Namburi, Praneeth; Anthony, Brian; Carvalho, Diogo; Carvalho, Miguel; Edelman, ElazerCumulative fatigue during repetitive work is associated with occupational risk and productivity reduction. Usually, subjective measures or muscle activity are used for a cumulative evaluation; however, Industry 4.0 wearables allow overcoming the challenges observed in those methods. Thus, the aim of this study is to analyze alterations in respiratory inductance plethysmography (RIP) to measure the asynchrony be...
A Deep Learning approach to prevent problematic movements of industrial workers...
Fernandes, Cristiana; Matos, Luís Miguel; Folgado, Duarte; Nunes, Maria Lua; Pereira, Joao Rui; Pilastri, Andre; Cortez, PauloNowadays, manufacturing industries still face difficulties applying traditional Work-related MusculoSkeletal Disorders (WMSDs) risk assessment methods due to the high effort required by a continuous data collection when using observational methods. An interesting solution is to adopt Inertial Measurement Units (IMUs) to automate the data collection, thus supporting occupational health professionals. In this pap...
Time alignment measurement for time series
Folgado, Duarte; Barandas, Marília; Matias, Ricardo; Martins, Rodrigo; Carvalho, Miguel; Gamboa, HugoWhen a comparison between time series is required, measurement functions provide meaningful scores to characterize similarity between sequences. Quite often, time series appear warped in time, i.e, although they may exhibit amplitude and shape similarity, they appear dephased in time. The most common al- gorithm to overcome this challenge is the Dynamic Time Warping, which aligns each sequence prior establishin...