How to hide your voice: Noise-cancelling bird photography blind
June 24, 2022 Β· Declared Dead Β· π Environmental science and pollution research international
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Caner Baydur, Baojing Pu, Xiaoqing Xu
arXiv ID
2206.12340
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SD,
eess.AS
Citations
1
Venue
Environmental science and pollution research international
Last Checked
4 months ago
Abstract
Getting close to birds is a great challenge in wildlife photography. Bird photography blinds may be the most effective and least intrusive way if properly designed. However, the acoustic design of the blinds has been overlooked so far. Herein, we present noise-cancelling blinds which allow photographing birds at close range. Firstly, we conduct a questionnaire in the eco-tourism centre located in Yunnan, China. Thus, we determine the birders' expectations of the indoor sound environment. We then identify diverse variables to examine the impact of architectural and acoustic decisions on noise propagation. Finally, we examine the acoustic performance of the blinds by considering the birds' hearing threshold. The numerical simulations are performed in the acoustics module of Comsol MultiPhysics. Our study demonstrated that photography blinds require a strong and thorough acoustic design for both human and bird well-being.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted