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Investigation of Tactile Sensory System Configuration for Construction Hazard Perception
Sayan Sakhakarmi1, JeeWoong Park2
1Department of Civil and Environmental Engineering and Construction, the University of Nevada, Las Vegas, NV 89154, USA. sayan.sakhakarmi@unlv.edu.
This study optimized tactile wearable devices for construction workers, determining optimal motor spacing and layout for effective hazard communication. These wearable sensors enhance safety by enabling clear, learnable hazard signals, reducing worker injuries.
Area of Science:
- Human-Computer Interaction
- Wearable Technology
- Occupational Safety and Health
Background:
- Tactile wearable devices show promise for communication, particularly for navigation assistance.
- Previous research explored tactile signals for hazard communication in construction.
- Limited attention has been given to sensor design parameters for effective tactile communication in construction environments.
Purpose of the Study:
- To identify key design factors for tactile sensory systems for construction hazard communication.
- To determine optimal motor count, sensor spacing, and layout for effective information delivery.
- To develop a system enabling workers to easily learn and interpret hazard signals.
Main Methods:
- Literature review to determine the number of motors based on construction safety needs.
- Experimental study to find the minimum spacing for accurate motor identification.
- Experimental study to determine optimal motor layout for communicating multiple hazard types.
Main Results:
- Established minimum spacing between vibration motors for accurate individual identification.
- Identified an effective motor layout for communicating diverse hazard information.
- Developed a tactile-sensor configuration that facilitates easy learning of signal patterns.
Conclusions:
- Optimized tactile-sensor configurations can significantly improve hazard communication on construction sites.
- Wearable tactile technology can effectively transmit hazard information, protecting workers.
- This system has the potential to prevent worker fatalities and severe injuries through early hazard detection.
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