A Smart Safety Helmet using IMU and EEG sensors for worker fatigue detection

Li, Ping; Meziane, Ramy; Otis, Martin J.‐D.; Ezzaidi, Hassan; Cardou, Philippe

doi:10.1109/rose.2014.6952983

Cited by 64 publications

(57 citation statements)

References 26 publications

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“…Li et al [27] have presented a Smart Safety Helmet (SSH) to detect the risk of ergonomics of the workers in the industries. SSH consists of IMU units and EEG sensors.…”

Section: Inertial Measurement Units (Imu)mentioning

confidence: 99%

A study on the ergonomic assessment in the workplace

Tee

Low

Saim

et al. 2017

AIP Conference Proceedings

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White blood cell counting analysis of blood smear images using various segmentation strategies AIP Conference Proceedings 1883, 020018 (2017) Abstract:Ergonomics has gained attention and take into consideration by the workers in the different fields of works recently. It has given a huge impact on the workers comfort which directly affects the work efficiency and productivity. The workers have claimed to suffer from the painful postures and injuries in their workplace. Musculoskeletal disorders (MSDs) is the most common problem frequently reported by the workers. This problem occurs due to the lack of knowledge and alertness from the workers to the ergonomic in their surroundings. This paper intends to review the approaches and instruments used by the previous works of the researchers in the evaluation of the ergonomics. The two main assessment methods often used for ergonomic evaluation are Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA). Popular devices are Inertial Measurement Units (IMU) and Microsoft Kinect.

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“…Li et al [27] have presented a Smart Safety Helmet (SSH) to detect the risk of ergonomics of the workers in the industries. SSH consists of IMU units and EEG sensors.…”

Section: Inertial Measurement Units (Imu)mentioning

confidence: 99%

A study on the ergonomic assessment in the workplace

Tee

Low

Saim

et al. 2017

AIP Conference Proceedings

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“…Dodge activity is defined in order to evaluate collision avoidance algorithm. Other human activities and head gestures have been investigated in previous work [26].…”

Section: A Operator Relative Position From the End-effectormentioning

confidence: 99%

Safer hybrid workspace using human-robot interaction while sharing production activities

Meziane

Otis

et al. 2014

2014 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Proceedings

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Abstract-In a near future, human and industrial manipulator will work together sharing a common workspace and production activities leading to a potential increase of accident. The research project concerns the adaptation of industrial robot already installed in a flexible manufacturing system in order to make it more interactive with human. The aim concerns the reduction of potential risk of injuries while working with an industrial robot. This paper presents a new inexpensive, non-intrusive, non-invasive, and non-vision-based system, for human detection and collision avoidance. One method investigated for improving safety concerns planning of safe path. This system recognizes human activities and locates operator's position in real time through an instrumented safety helmet. This safety helmet includes an IMU (Inertial Measurement Unit) and an indoor localization system such as RSSI (Received Signal Strength Indication) using industrial wireless equipment. A hybrid workspace including a flexible manufacturing system has been designed in order to practice experiments in an industrial-like environment.

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“…Safety is probably one of the most continuously investigated field in several applications, from driving to health care . Over time, workplace safety procedures and appliances have been increasingly enhanced to ensure the state‐of‐the‐art requirements . This is not just a matter of comfort (ie, lighting or seats) as it can be applied to evacuation procedures, as well as the safety clothing .…”

Section: Introductionmentioning

confidence: 99%

“…This is not just a matter of comfort (ie, lighting or seats) as it can be applied to evacuation procedures, as well as the safety clothing . These solutions are of even higher relevance in those workplaces that require the physical commitment of the worker, exposing him/her to high risks of cuts (as in sawmills and forges), crushing (as for those working with the presses), bumps and falls (as in construction sites and scaffolding) . A way to improve worker safety is to enrich the usual equipment with smart solutions, able to detect and report accidents that can occur in construction sites, in the depths of wells and tunnels or on freight elevators.…”

Section: Introductionmentioning

confidence: 99%

“…Considering mining safety, different available works use specific sensors to detect hazardous environment situations without taking into account the workers' vital state. On the other hand, in industrial safety there are different systems that provide worker fatigue detection, but do not consider the environmental state. When compared to other solutions (Table ), SAFE represents a proof‐of‐concept of a system that enables continuous monitoring of both vital parameters and environmental state without begin invasive or affecting the mobility of the worker.…”

Section: Introductionmentioning

confidence: 99%

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SAFE: Smart helmet for advanced factory environment

Altamura

Inchingolo

Mevoli

et al. 2019

Internet Technology Letters

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Safety is a leading theme in industrial applications such as constructions sites and production chains. Several solutions are already in use to protect workers from structural failures or traumatic events. These work instruments have proven their effectiveness, lowering the potentially hurtful, if not fatal, consequences of accidents on workplaces. In this context, the Industrial Internet of Things (IIoT) paradigm can boost the development of smart wearable systems that do not impede movements and/or operations. This work proposes Smart helmet for Advanced Factory Environment (SAFE), an autonomous and integrated wearable IIoT device. With the help of integrated sensors, SAFE is able to perform continuous monitoring activities of the worker and to promptly send alerts in case of alarms and/or accidents.

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A Smart Safety Helmet using IMU and EEG sensors for worker fatigue detection

Cited by 64 publications

References 26 publications

A study on the ergonomic assessment in the workplace

A study on the ergonomic assessment in the workplace

Safer hybrid workspace using human-robot interaction while sharing production activities

SAFE: Smart helmet for advanced factory environment

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