A Multimodal In-Ear Audio and Physiological Dataset for Swallowing and Non-Verbal Event Classification

Keyphrases

• Nonverbal 100%
• Physiological Data 100%
• Event Classification 100%
• In-ear Audio 100%
• Healthy Adults 33%
• Data Quality 33%
• Existing Data 33%
• Clinical Application 33%
• Ultrasound Probe 33%
• Noisy Environment 33%
• Task-involving 33%
• Electrocardiogram Signal 33%
• F1 Score 33%
• Audio Data 33%
• Outer Ear 33%
• Manual Inspection 33%
• Ultrasound Signal 33%
• Scalp 33%
• In-ear Microphone 33%
• Blinking 33%
• Squat 33%
• Physical Movement 33%
• Fully Convolutional Neural Network 33%
• Zero Crossing Rate 33%
• Emotional Health 33%
• Acceleration Signal 33%
• Respiration Signal 33%
• Sound Detection 33%
• Detailed Annotation 33%
• YAMNet 33%
• Swallowing Sound 33%
• Neurological Health 33%
• Algorithmic Analysis 33%
• Verbal Tasks 33%
• Nonverbal Sound 33%
• Walking-in-place 33%
• Nonverbal Task 33%
• Ear-worn 33%
• Tongue Movement 33%

Computer Science

• Annotation 100%
• Neural Network 50%
• Noisy Environment 50%
• Clinical Application 50%
• Proof 50%

Neuroscience

• Neural Network 100%