A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor

Lamooki, Saeb Ragani; Hajifar, Sahand; Kang, Jiyeon; Sun, Hongyue; Megahed, Fadel M.; Cavuoto, Lora

doi:10.1016/j.apergo.2022.103732

Cited by 10 publications

(7 citation statements)

References 49 publications

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“…Lamooki et al [ 20 ] developed a single wearable sensor-based data analytic framework for automated quantification. The developed framework is commonly used for ergonomic risk factor analysis and assessment processes.…”

Section: Related Workmentioning

confidence: 99%

Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning

Gurumoorthy

Rajasekaran

Kalirajan

et al. 2023

Sensors

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Wearable Sensor (WS) data accumulation and transmission are vital in analyzing the health status of patients and elderly people remotely. Through specific time intervals, the continuous observation sequences provide a precise diagnosis result. This sequence is however interrupted due to abnormal events or sensor or communicating device failures or even overlapping sensing intervals. Therefore, considering the significance of continuous data gathering and transmission sequence for WS, this article introduces a Concerted Sensor Data Transmission Scheme (CSDTS). This scheme endorses aggregation and transmission that aims at generating continuous data sequences. The aggregation is performed considering the overlapping and non-overlapping intervals from the WS sensing process. Such concerted data aggregation generates fewer chances of missing data. In the transmission process, allocated first-come-first-serve-based sequential communication is pursued. In the transmission scheme, a pre-verification of continuous or discrete (missing) transmission sequences is performed using classification tree learning. In the learning process, the accumulation and transmission interval synchronization and sensor data density are matched for preventing pre-transmission losses. The discrete classified sequences are thwarted from the communication sequence and are transmitted post the alternate WS data accumulation. This transmission type prevents sensor data loss and reduces prolonged wait times.

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Section: Related Workmentioning

confidence: 99%

Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning

Gurumoorthy

Rajasekaran

Kalirajan

et al. 2023

Sensors

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“…"Backache" is one of the most prevalent types of work-related musculoskeletal disorders (WMSDs) and a risk factor [67,68]. Therefore, it is essential to provide "ergonomics" equipment and "personnel training" to promote correct lifting techniques [69,70].…”

Section: Topic Trendsmentioning

confidence: 99%

A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction

Junjia,

Alias,

Haron

et al. 2023

Buildings

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Construction faces many safety accidents with urbanization, particularly in hoisting. However, there is a lack of systematic review studies in this area. This paper explored the factors and methods of risk assessment in hoisting for industrial building system (IBS) construction. Firstly, bibliometric analysis revealed that future research will focus on “ergonomics”, “machine learning”, “computer simulation”, and “wearable sensors”. Secondly, the previous 80 factors contributing to hoisting risks were summarized from a “human–equipment–management–material–environment” perspective, which can serve as a reference point for managers. Finally, we discussed, in-depth, the application of artificial neural networks (ANNs) and digital twins (DT). ANNs have improved the efficiency and accuracy of risk assessment. Still, they require high-quality and significant data, which traditional methods do not provide, resulting in the low accuracy of risk simulation results. DT data are emerging as an alternative, enabling stakeholders to visualize and analyze the construction process. However, DT’s interactivity, high cost, and information security need further improvement. Based on the discussion and analysis, the risk control model created in this paper guides the direction for future research.

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“…Riesgo presente: Nivel muy alto Una de las desventajas del método NIOSH es que su aplicación depende del nivel de expertiz del evaluador y de los instrumentos que use para obtener los factores D, V, H, y A, los que, a su vez, requieren de la incorporación de elementos tecnológicos que entorpecen la labor del trabajador (Lamooki et al, 2022). Por otro lado, el tiempo de evaluación del puesto de trabajo, requiere de bastante trabajo por parte del evaluador, pues muchas veces requiere de procesar las imágenes capturadas, extraer la información mediante software de procesamiento de imágenes y estimar, dentro de lo posible, la mayor cantidad de información desde diferentes planos de medición.…”

Section: Valor íNdice Levantamiento (Il)unclassified

Desarrollo de plataforma para evaluar riesgo de trastornos musculoesqueléticos en actividades de manipulación manual de carga - resultados preliminares

Inzunza

Gutiérrez

Gomez

et al. 2022

EIDCC

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Cuando Fernando Carlos de Vera y Figueroa, II conde de la Roca, pasó a ocupar la embajada en Venecia, el recuerdo de su afamado padre estuvo presente desde el momento de su llegada. No podía ser de otra forma, ya que la proyección que este había logrado en la corte madrileña resulta fundamental para entender la concesión de este cargo a su hijo. En el presente artículo, pretendemos ahondar en la importancia del linaje y las redes clientelares de cara a desarrollar una carrera política al servicio de la corona española. Para ello, abordaremos el proceso por el que nuestro protagonista fue elegido para ocupar esta legación y se gestó su arribo a Venecia.

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A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor

Cited by 10 publications

References 49 publications

Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning

Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning

A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction

Desarrollo de plataforma para evaluar riesgo de trastornos musculoesqueléticos en actividades de manipulación manual de carga - resultados preliminares

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