An Ergonomic Analysis on Working Postures of Construction Site Workers

2022 ◽  
pp. 620-642
Author(s):  
Suchismita Satapathy
Keyword(s):  
Occupational Safety ◽  
Body Movement ◽  
Body Part ◽  
Body Parts ◽  
Heavy Load ◽  
Physical Disorders ◽  
Maximum Comfort ◽  
Ergonomic Analysis ◽  
Working Procedure ◽  
Forceful Exertion

Risk factors related to work activity and ergonomics can enhance the probability that some persons may develop a MSD (musculoskeletal disorder). Usually the MSD develops due to high task repetition, forceful exertion, and repetitive/sustained awkward postures. MSD is also found in some cases where workers are engaged with working in awkward postures, cold temperatures, contact stress, heavy load, static postures, and vibration, etc. Many studies explain the problems for MSD, but in this chapter an effort is taken to rank the maximum body movement and body parts as per the different types of work flow system such that ergonomics design can be planned. Physical disorders can be avoided by finding and ranking the difficult task and the affected body part due to that kind of work. The prioritization of task will help the organization to think of sustainable designs of working procedure or instruments or machines to provide maximum comfort to humankind. It may also help to frame policies for occupational safety and hazards in workplace.

An Ergonomic Analysis on Working Postures of Construction Site Workers

2018 ◽  
pp. 172-196
Author(s):  
Suchismita Satapathy
Keyword(s):  
Occupational Safety ◽  
Body Movement ◽  
Body Part ◽  
Body Parts ◽  
Heavy Load ◽  
Physical Disorders ◽  
Maximum Comfort ◽  
Ergonomic Analysis ◽  
Working Procedure ◽  
Forceful Exertion

Risk factors related to work activity and ergonomics can enhance the probability that some persons may develop a MSD (musculoskeletal disorder). Usually the MSD develops due to high task repetition, forceful exertion, and repetitive/sustained awkward postures. MSD is also found in some cases where workers are engaged with working in awkward postures, cold temperatures, contact stress, heavy load, static postures, and vibration, etc. Many studies explain the problems for MSD, but in this chapter an effort is taken to rank the maximum body movement and body parts as per the different types of work flow system such that ergonomics design can be planned. Physical disorders can be avoided by finding and ranking the difficult task and the affected body part due to that kind of work. The prioritization of task will help the organization to think of sustainable designs of working procedure or instruments or machines to provide maximum comfort to humankind. It may also help to frame policies for occupational safety and hazards in workplace.

scholarly journals Ergonomic Evaluation of Work Related Musculoskeletal Disorders and Postural Stress among Male Potato Cultivators of West Bengal, India

2016 ◽  
Vol 4 (2) ◽  
pp. 5-14 ◽  
Author(s):  
Amitava Pal ◽  
Sujaya De ◽  
Piyali Sengupta ◽  
Payel Maity ◽  
Prakash C. Dhara
Keyword(s):  
Musculoskeletal Disorders ◽  
Occupational Safety ◽  
West Bengal ◽  
Body Part ◽  
Body Parts ◽  
Work Related ◽  
Postural Stress ◽  
Observation Method ◽  
Postural Analysis ◽  
Vegetable Cultivation

Background: Apart from cereal production (rice, wheat, etc.) agricultural labourers are engaged in vegetable cultivation in West Bengal, India. Potato cultivation is one of the important vegetable cultivation in India. The potato cultivation tasks are repetitive in nature and those are carried out mainly by manual efforts. Most of the tasks of potato cultivation are monotonous, strenuous, physiologically demanding as well as time-consuming.Objective: The present study was aimed to evaluate musculoskeletal disorders (MSDs) and postural stress among male workers engaged in different potato cultivation jobs. Methods: The study was conducted on 163 male potato cultivators in different districts of West Bengal state. A modified Nordic Questionnaire and Body Part Discomfort scale were applied to identify MSDs in different body parts. The postural pattern was assessed by direct observation method. The postural stress was analyzed by OWAS, REBA and QEC methods. Result: The results show that the prevalence of MSDs was very high among the workers and the most affected areas were back and upper extremity. Postural analysis indicated that the subjects had to adopt different stressful postures during performing different potato cultivation jobs. During potato harvesting operation the workers were subjected to greater postural stress than that of other tasks.Conclusion: Postural stress might be the reason of the occurrence of MSDs. From this study it has been recommended that workers should avoid bad work postures as far as possible during work for reducing job related health hazards.International Journal of Occupational Safety and Health, Vol 4 No 2 (2014) 05 – 14

Deadlift Recognition and Application based on Multiple Modalities using Recurrent Neural Network

2020 ◽  
Vol 2020 (17) ◽  
pp. 2-1-2-6
Author(s):  
Shih-Wei Sun ◽  
Ting-Chen Mou ◽  
Pao-Chi Chang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Network Structure ◽  
Inertial Sensors ◽  
Body Movement ◽  
The Body ◽  
Body Parts ◽  
Multimodal Sensing ◽  
Multiple Devices ◽  
Neural Network Structure

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.

Some key body parts and polysemy

2017 ◽  
Author(s):  
Carol Priestley
Keyword(s):  
Human Life ◽  
Body Part ◽  
Cultural Bias ◽  
Body Parts ◽  
Visible Body

This chapter discusses body part nouns, a part of language that is central to human life, and the polysemy that arises in connection with them. Examples from everyday speech and narrative in various contexts are examined in a Papuan language called Koromu and semantic characteristics of body part nouns in other studies are also considered. Semantic templates are developed for nouns that represent highly visible body parts: for example, wapi ‘hands/arms’, ehi ‘feet/legs’, and their related parts. Culture-specific explications are expressed in a natural metalanguage that can be translated into Koromu to avoid the cultural bias inherent in using other languages and to reveal both distinctive semantic components and similarities to cross-linguistic examples.

scholarly journals Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3771
Author(s):  
Alexey Kashevnik ◽  
Walaa Othman ◽  
Igor Ryabchikov ◽  
Nikolay Shilov
Keyword(s):  
Respiratory Rate ◽  
Evaluation System ◽  
Body Movement ◽  
Absolute Error ◽  
The Body ◽  
Meditation Practice ◽  
Body Parts ◽  
Mental Health Training ◽  
Negative Thoughts ◽  
The Mean

Meditation practice is mental health training. It helps people to reduce stress and suppress negative thoughts. In this paper, we propose a camera-based meditation evaluation system, that helps meditators to improve their performance. We rely on two main criteria to measure the focus: the breathing characteristics (respiratory rate, breathing rhythmicity and stability), and the body movement. We introduce a contactless sensor to measure the respiratory rate based on a smartphone camera by detecting the chest keypoint at each frame, using an optical flow based algorithm to calculate the displacement between frames, filtering and de-noising the chest movement signal, and calculating the number of real peaks in this signal. We also present an approach to detecting the movement of different body parts (head, thorax, shoulders, elbows, wrists, stomach and knees). We have collected a non-annotated dataset for meditation practice videos consists of ninety videos and the annotated dataset consists of eight videos. The non-annotated dataset was categorized into beginner and professional meditators and was used for the development of the algorithm and for tuning the parameters. The annotated dataset was used for evaluation and showed that human activity during meditation practice could be correctly estimated by the presented approach and that the mean absolute error for the respiratory rate is around 1.75 BPM, which can be considered tolerable for the meditation application.

scholarly journals The signing body: extensive sign language practice shapes the size of hands and face

2021 ◽  
Author(s):  
Laura Mora ◽  
Anna Sedda ◽  
Teresa Esteban ◽  
Gianna Cocchini
Keyword(s):  
Sign Language ◽  
Body Part ◽  
Spatial Context ◽  
Dependent Manner ◽  
Body Parts ◽  
Baseball Players ◽  
Space Condition ◽  
Hand Size ◽  
Stable Representation ◽  
The Face

AbstractThe representation of the metrics of the hands is distorted, but is susceptible to malleability due to expert dexterity (magicians) and long-term tool use (baseball players). However, it remains unclear whether modulation leads to a stable representation of the hand that is adopted in every circumstance, or whether the modulation is closely linked to the spatial context where the expertise occurs. To this aim, a group of 10 experienced Sign Language (SL) interpreters were recruited to study the selective influence of expertise and space localisation in the metric representation of hands. Experiment 1 explored differences in hands’ size representation between the SL interpreters and 10 age-matched controls in near-reaching (Condition 1) and far-reaching space (Condition 2), using the localisation task. SL interpreters presented reduced hand size in near-reaching condition, with characteristic underestimation of finger lengths, and reduced overestimation of hands and wrists widths in comparison with controls. This difference was lost in far-reaching space, confirming the effect of expertise on hand representations is closely linked to the spatial context where an action is performed. As SL interpreters are also experts in the use of their face with communication purposes, the effects of expertise in the metrics of the face were also studied (Experiment 2). SL interpreters were more accurate than controls, with overall reduction of width overestimation. Overall, expertise modifies the representation of relevant body parts in a specific and context-dependent manner. Hence, different representations of the same body part can coexist simultaneously.

Maximizing Recall of Gruesome Images for Health Effects Advertising: An Experimental Investigation

2010 ◽  
Vol 16 (4) ◽  
pp. 112-121 ◽  
Author(s):  
Brennen W. Mills ◽  
Owen B. J. Carter ◽  
Robert J. Donovan
Keyword(s):  
Experimental Investigation ◽  
Body Part ◽  
The Body ◽  
Advertising Effectiveness ◽  
Body Parts ◽  
Online Study ◽  
Video Clips ◽  
Video Images ◽  
The Impact

The objective of this case study was to experimentally manipulate the impact on arousal and recall of two characteristics frequently occurring in gruesome depictions of body parts in smoking cessation advertisements: the presence or absence of an external physical insult to the body part depicted; whether or not the image contains a clear figure/ground demarcation. Three hundred participants (46% male, 54% female; mean age 27.3 years, SD = 11.4) participated in a two-stage online study wherein they viewed and responded to a series of gruesome 4-s video images. Seventy-two video clips were created to provide a sample of images across the two conditions: physical insult versus no insult and clear figure/ground demarcation versus merged or no clear figure/ground demarcation. In stage one, participants viewed a randomly ordered series of 36 video clips and rated how “confronting” they considered each to be. Seven days later (stage two), to test recall of each video image, participants viewed all 72 clips and were asked to identify those they had seen previously. Images containing a physical insult were consistently rated more confronting and were remembered more accurately than images with no physical insult. Images with a clear figure/ground demarcation were rated as no more confronting but were consistently recalled with greater accuracy than those with unclear figure/ground demarcation. Makers of gruesome health warning television advertisements should incorporate some form of physical insult and use a clear figure/ground demarcation to maximize image recall and subsequent potential advertising effectiveness.

scholarly journals Wrist and finger motor representations embedded in the cerebral and cerebellar resting-state activation

2021 ◽  
Author(s):  
Toshiki Kusano ◽  
Hiroki Kurashige ◽  
Isao Nambu ◽  
Yoshiya Moriguchi ◽  
Takashi Hanakawa ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Body Part ◽  
Resting State Fmri ◽  
Body Parts ◽  
Finger Movements ◽  
Multiple Components ◽  
Brain Activity Pattern ◽  
Motor Representations ◽  
The Brain

AbstractSeveral functional magnetic resonance imaging (fMRI) studies have demonstrated that resting-state brain activity consists of multiple components, each corresponding to the spatial pattern of brain activity induced by performing a task. Especially in a movement task, such components have been shown to correspond to the brain activity pattern of the relevant anatomical region, meaning that the voxels of pattern that are cooperatively activated while using a body part (e.g., foot, hand, and tongue) also behave cooperatively in the resting state. However, it is unclear whether the components involved in resting-state brain activity correspond to those induced by the movement of discrete body parts. To address this issue, in the present study, we focused on wrist and finger movements in the hand, and a cross-decoding technique trained to discriminate between the multi-voxel patterns induced by wrist and finger movement was applied to the resting-state fMRI. We found that the multi-voxel pattern in resting-state brain activity corresponds to either wrist or finger movements in the motor-related areas of each hemisphere of the cerebrum and cerebellum. These results suggest that resting-state brain activity in the motor-related areas consists of the components corresponding to the elementary movements of individual body parts. Therefore, the resting-state brain activity possibly has a finer structure than considered previously.

RF Vital Sign Sensing under Free Body Movement

2021 ◽  
Vol 5 (3) ◽  
pp. 1-22
Author(s):  
Jian Gong ◽  
Xinyu Zhang ◽  
Kaixin Lin ◽  
Ju Ren ◽  
Yaoxue Zhang ◽  
...  
Keyword(s):  
Vital Sign ◽  
Estimation Error ◽  
Body Movement ◽  
Vital Signs ◽  
Motion Artifacts ◽  
Body Parts ◽  
Training Scheme ◽  
Pattern Movement ◽  
Free Body ◽  
Average Estimation Error

Radio frequency (RF) sensors such as radar are instrumental for continuous, contactless sensing of vital signs, especially heart rate (HR) and respiration rate (RR). However, decades of related research mainly focused on static subjects, because the motion artifacts from other body parts may easily overwhelm the weak reflections from vital signs. This paper marks a first step in enabling RF vital sign sensing under ambulant daily living conditions. Our solution is inspired by existing physiological research that revealed the correlation between vital signs and body movement. Specifically, we propose to combine direct RF sensing for static instances and indirect vital sign prediction based on movement power estimation. We design customized machine learning models to capture the sophisticated correlation between RF signal pattern, movement power, and vital signs. We further design an instant calibration and adaptive training scheme to enable cross-subjects generalization, without any explicit data labeling from unknown subjects. We prototype and evaluate the framework using a commodity radar sensor. Under a variety of moving conditions, our solution demonstrates an average estimation error of 5.57 bpm for HR and 3.32 bpm for RR across multiple subjects, which largely outperforms state-of-the-art systems.

Be happy when your stomach is

2020 ◽  
Vol 27 (1) ◽  
pp. 184-208
Author(s):  
Dorothea Hoffmann
Keyword(s):  
Personality Traits ◽  
Body Part ◽  
Body Parts ◽  
States Of Mind ◽  
Basic Emotions ◽  
Semantic Domain ◽  
Noun Incorporation ◽  
Closed Class ◽  
River Region

Abstract In this paper I provide a description of the role of body-part terms in expressions of emotion and other semantic extensions in MalakMalak, a non-Pama-Nyungan language of the Daly River area. Body-based expressions denote events, emotions, personality traits, significant places and people and are used to refer to times and number. Particularly central in the language are men ‘stomach’, pundu ‘head’ and tjewurr ‘ear’ associated respectively with basic emotions, states of mind and reason. The figurative extensions of these body parts are discussed systematically, and compared with what is known for other languages of the Daly River region. The article also explores the grammatical make up of body-based emotional collocations, and in particular the role of noun incorporation. In MalakMalak, noun incorporation is a central part of forming predicates with body parts, but uncommon in any other semantic domain of the language and only lexemes denoting basic emotions may also incorporate closed-class adjectives.

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