Statistical analysis of balloon logging time and motion data /

SummaryDue to physically demanding tasks in construction, workers are exposed to significant safety and health risks. Measuring and evaluating body kinematics while performing tasks helps to identify the fundamental causes of excessive physical demands, enabling practitioners to implement appropriate interventions to reduce them. Recently, non-invasive or minimally invasive motion capture approaches such as vision-based motion capture systems and angular measurement sensors have emerged, which can be used for in-field kinematics measurements, minimally interfering with on-going work. Given that these approaches have pros and cons for kinematic measurement due to adopted sensors and algorithms, an in-depth understanding of the performance of each approach will support better decisions for their adoption in construction. With this background, the authors evaluate the performance of vision-based (RGB-D sensor-, stereovision camera-, and multiple camera-based) and an angular measurement sensor-based (i.e., an optical encoder) approach to measure body angles through experimental testing. Specifically, measured body angles from these approaches were compared with the ones obtained from a marker-based motion capture system that has less than 0.1 mm of errors. The results showed that vision-based approaches have about 5–10 degrees of error in body angles, while an angular measurement sensor-based approach measured body angles with about 3 degrees of error during diverse tasks. The results indicate that, in general, these approaches can be applicable for diverse ergonomic methods to identify potential safety and health risks, such as rough postural assessment, time and motion study or trajectory analysis where some errors in motion data would not significantly sacrifice their reliability. Combined with relatively accurate angular measurement sensors, vision-based motion capture approaches also have great potential to enable us to perform in-depth physical demand analysis such as biomechanical analysis that requires full-body motion data, even though further improvement of accuracy is necessary. Additionally, understanding of body kinematics of workers would enable ergonomic mechanical design for automated machines and assistive robots that helps to reduce physical demands while supporting workers' capabilities.

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Statistical Analysis and Stochastic Simulation of Ground-Motion Data

Bell System Technical Journal ◽

10.1002/j.1538-7305.1968.tb01086.x ◽

1968 ◽

Vol 47 (10) ◽

pp. 2273-2298

Author(s):

S. C. Liu

Keyword(s):

Statistical Analysis ◽

Stochastic Simulation ◽

Ground Motion ◽

Motion Data

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Application of Time and Motion study for Brickwork activity in Residential building

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1197/1/012038 ◽

2021 ◽

Vol 1197 (1) ◽

pp. 012038

Author(s):

G Vinod Kumar Reddy ◽

K Shyam Chambrelin

Keyword(s):

Statistical Analysis ◽

Labor Productivity ◽

Work Experience ◽

Residential Buildings ◽

Research Work ◽

Residential Building ◽

Vital Role ◽

Time And Motion Study ◽

Time And Motion ◽

Motion Study

Abstract Construction industry is one of the largest industries in any economy whether gauged in currency volume or workforce quantity but still it is not attentive in appealing it. Human resource plays a vital role in increasing economy and enhancing productivity. Labor productivity is the key driving factor in burgeoning thrift. Various labors possess distinct productivity levels, thus ultimately affects time and profit of construction. Construction activities performed by workers are usually repetitive and demands physical attention, which can be examined by time and motion study followed by evaluation through statistical analysis. A time and motion study are a work measurement technique that involves recording the time spent on a specific job. A time keeping system can be used to record time, while a motion study can be used to eliminate waste. In this research work, a total of seven residential building sites were selected for performing time and motion study considering brick masonry work as main domain where vision-based approach is followed to collect data, i.e., video record study followed by statistical analysis applied to the observed and collected data on site to determine the time parameters, work efficiency and labor productivity construing to the hassles and its reasons. This study focused on only residential buildings limiting the crew designation to mason and helpers aged 25-35 years with 10-16 years of work experience working under traditional method with conditioned tools like hand trowel, mason square, spirit level, plumb rule, etc.

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Probability Model of Hangzhou Bay Bridge Vehicle Loads Using Weigh-in-Motion Data

Shock and Vibration ◽

10.1155/2015/576083 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Dezhang Sun ◽

Xu Wang ◽

Bin Chen ◽

Baitao Sun

Keyword(s):

Statistical Analysis ◽

Probability Distribution ◽

Normal Distribution ◽

Value Theory ◽

Hangzhou Bay ◽

Main Peak ◽

Motion Data ◽

Maximum Value ◽

Weigh In Motion ◽

Vehicle Loads

To study the vehicle load characteristics of bay bridges in China, especially truck loads, we performed a statistical analysis of the vehicle loads on Hangzhou Bay Bridge using more than 3 months of weigh-in-motion data from the site. The results showed that when all the vehicle samples were included in the statistical analysis, the histogram of the vehicles exhibited a multimodal distribution, which could not be fitted successfully by a familiar single probability distribution model. When the truck samples were analyzed, a characteristic multiple-peaked distribution with a main peak was obtained. The probability distribution of all vehicles was fitted using a weighting function with five normal distributions and the truck loads were modeled by a single normal distribution. The results demonstrated the good fits with the histogram. The histograms of different time periods were also analyzed. The results showed that the traffic mainly comprised two-axle small vehicles during the rush hours in the morning and the evening, and the histogram could be fitted approximately using three normal distribution functions. And the maximum value distributions of vehicles during the design life of the bay bridge were predicted by maximum value theory.

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Finding Features of Actions Efficiently Synchronized with Dishwashing Robot

Advances in Social Sciences Research Journal ◽

10.14738/assrj.82.9751 ◽

2021 ◽

Vol 8 (2) ◽

pp. 206-224

Author(s):

Kosuke Nishio ◽

Fumiko Harada ◽

Hiromitsu Shimakawa

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Human Operator ◽

Acceleration Sensor ◽

Motion Data ◽

Time And Motion ◽

Takt Time ◽

Motion Features ◽

Motion Characteristics

In this study, we propose a method for extracting the characteristics of body motions that contribute to reducing the takt time in a cooperative task between a dishwashing robot and a human operator. The proposed method collects the takt time and motion data from novice operators until they become experienced using an inexpensive acceleration sensor. The operation data is classified into experienced and novice periods using the variance value of the takt time. In addition, the Hidden Markov Model is generated to classify the motion data into multiple motion phases. The motion features of the operator are extracted for each phase from the generated model. The proposed method finds the motion features whose difference between the experienced and novice periods are similar to the takt time transition. It uses them as important variables. We verified the effectiveness of the proposed method by conducting experiments that simulate actual work at a restaurant. The Hidden Markov Model classified the operation phases into three categories with the AUC of 0.9. In all samples, we were able to extract the motion characteristics of the experienced operators. This study showed the potential to improve the speed of novice's progress by the extracted motion characteristics to improve education guidelines and to show operators how they should physically move.

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Statistical analysis of polar motion data ? I. Theory for the Chandler wobble analysis

Geophysical Journal International ◽

10.1111/j.1365-246x.1982.tb02771.x ◽

1982 ◽

Vol 69 (3) ◽

pp. 669-719 ◽

Cited By ~ 1

Author(s):

Isao Okamoto ◽

Naokichi Kikuchi

Keyword(s):

Statistical Analysis ◽

Polar Motion ◽

Chandler Wobble ◽

Motion Data

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Statistical Analysis of Index Values Extracted from Outdoor Agricultural Workers Motion Data

Journal of Advanced Agricultural Technologies ◽

10.12720/joaat.1.1.69-74 ◽

2014 ◽

Vol 1 (1) ◽

pp. 69-74 ◽

Cited By ~ 2

Author(s):

Shinji Kawakura ◽

Ryosuke Shibasaki

Keyword(s):

Statistical Analysis ◽

Agricultural Workers ◽

Motion Data

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Economic modelling of immediately sequential bilateral cataract surgery (ISBCS) in the National Health Service based on possible improvements in surgical efficiency

BMJ Open Ophthalmology ◽

10.1136/bmjophth-2019-000426 ◽

2020 ◽

Vol 5 (1) ◽

pp. e000426 ◽

Cited By ~ 1

Author(s):

David P O'Brart ◽

Harry Roberts ◽

Khayam Naderi ◽

Jack Gormley

Keyword(s):

National Health Service ◽

Health Service ◽

Cataract Surgery ◽

National Health ◽

High Volume ◽

Economic Modelling ◽

Bilateral Cataract ◽

Motion Data ◽

Time And Motion ◽

Motion Study

ObjectiveTo test a hypothesis that operating room (OR) productivity in the National Health Service (NHS) can be improved with the introduction of immediately sequential bilateral cataract surgery (ISBCS).Methods and analysisPreviously published time and motion data of 140 unilateral cataract surgeries conducted at five different NHS locations were reanalysed to construct a hypothetical model where only ISBCS (±one unilateral case) were conducted while maintaining time durations of all key tasks previously studied. Possible time efficiency savings were calculated for the ISBCS model and percentage increases in numbers of eyes operated per 4-hour theatre session calculated. Gains in efficiency were correlated with factors from the baseline data to predict which settings could improve efficiency most by undertaking ISBCS.ResultsBased on remodelling our time and motion study (TMS) data as hypothetical ISBCS cases, we could expect a mean 16% reduction (range 9.8%–17.8%) in the time taken for two cataract operations, translating into a mean 54% improvement (range 38%–67%) in number of cases currently performed per list and an 18% improvement (range 9%–28%) even if the number of unilateral cases per list had been fully maximised. An average number of four ISBCS cases per list (range 3–6) were required to achieve sufficient time savings to allow an extra unilateral surgery to be conducted.ConclusionThe introduction of routine ISBCS has the potential to improve the productivity of cataract surgery within the NHS, with efficiencies being possible in both high-volume and low-volume surgical models.

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