Funding Source: University at Buffalo SMART Community of Excellence
Project Goal: This project aims to investigate the acoustic signature of multi-rotor unmanned aerial vehicles (UAVs) under various operating conditions, and its impact on human communication and psychological well-being. This study helps to understand how UAVs produce substantial and overpowering level of acoustic noise that can potentially distract or harm humans who are working in close proximity to these UAVs. This research enables us to use UAVs to revolutionize commercial and logistics sectors through their versatility, maneuverability, and rapidly increasing sophistication and decreasing costs.
My Roles: This project was a result of a successful team-work between three UB PhD students including myself. (i) We designed a specialized experimental setup for testing the impact of noise produced from small multi-rotor drones on the hearing and cognitive performance of humans; (ii) I provided the design of experiments and use statistical analysis to extract the significant features that impact the hearing; and (iii) I am using machine learning tools to build a UAV noise model to find an optimum design which minimizes the impact on human hearing in warehouse environments.
Publications:
Project Goal: This project aims to investigate the acoustic signature of multi-rotor unmanned aerial vehicles (UAVs) under various operating conditions, and its impact on human communication and psychological well-being. This study helps to understand how UAVs produce substantial and overpowering level of acoustic noise that can potentially distract or harm humans who are working in close proximity to these UAVs. This research enables us to use UAVs to revolutionize commercial and logistics sectors through their versatility, maneuverability, and rapidly increasing sophistication and decreasing costs.
My Roles: This project was a result of a successful team-work between three UB PhD students including myself. (i) We designed a specialized experimental setup for testing the impact of noise produced from small multi-rotor drones on the hearing and cognitive performance of humans; (ii) I provided the design of experiments and use statistical analysis to extract the significant features that impact the hearing; and (iii) I am using machine learning tools to build a UAV noise model to find an optimum design which minimizes the impact on human hearing in warehouse environments.
Publications: