Lim, T K; Park, S M; Lee, H C and Lee, D E (2016) Artificial neural network-based slip-trip classifier using smart sensor for construction workplace. Journal of Construction Engineering and Management, 142(2): 04015065, ISSN 0733-9364
Abstract
This paper presents a smart artificial neural network (ANN)-based slip-trip classification method, which integrates a smart sensor and an ANN. It was trained to identify the slip and trip events that occur while a worker walks in a workplace. It encourages preventive and collective actions to reduce construction accidents by identifying the type of near miss, i.e., slip or trip, and the exact time that it occurs. The variation in the energy released by a worker is measured using a triaxial accelerometer embedded in a smart phone. This study is of value to researchers because the method measures a near miss quantitatively using acceleration. It is also of relevance to practitioners because it provides a computerized tool that records each and every moment of a near-miss event. A test was performed by collecting the three-axis acceleration streams generated by workers wearing a smart phone running the classifier as they walked around a simulated construction jobsite. It identified the type of near miss and the exact time of its occurrence. The test case verified the usability and validity of the computational methods.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | accelerometer; labor and personnel issues; motion recognition; near miss; slip; trip |
| Index terms: | validity, acceleration, test case, artificial neural network, usability, personnel, construction accident, practitioner, stream, collective action, variation |
| Subjects: | management, contractual condition, water management, project controls, occupational health and safety management, communities and social development, evaluation and assessment methods, user-centered design, practitioner, modelling and simulation, professional practice |
| Topics: | Roles and Professions, Stakeholder Management, Sustainability, Health and Safety, Research Practice, Engineering Principles, Contract Administration, Time Control, Design Practice, Human Resources |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here