Proceedings
Authors
| Filter results3 paper(s) found. |
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1. An Intelligent Poultry Health Monitoring System Based on Multimodal Sensing TechnologiesTraditional poultry farming primarily relies on manual observation to assess the chicken flock health status. However, this approach is not only time-consuming and labor-intensive but also highly dependent on individual experience, making real-time monitoring difficult to achieve. With the advanced Internet of Things (IoT) and Artificial Intelligence (AI) technologies, the animal industry is gradually transitioning toward intelligent farming. At present, most sensors focus primarily on environmental... Y. Shih |
2. Study of Non-contact Respiration and Temperature-humidity Index for Dairy Cow Heat Stress MonitoringThis thesis develops a non-contact system to automatically monitor the respiratory rate of dairy cows, aiming to improve real-time health assessment and management in livestock farming. Respiratory rate is a key indicator of cow health, helping detect heat stress, respiratory illness, and other conditions early. The system uses visible light and thermal cameras to capture synchronized videos, while image recognition algorithms detect and track the nasal region to perform respiratory measurements... W. Chu |
3. Visual Attention and Clinical Scales in Patients with DementiaAttention is a critical indicator in dementia assessment, and its cognitive fluctuation serves as a key metric for evaluating treatment effectiveness. With technological advancements, eye-tracking has emerged as a reliable and non-invasive tool for measuring attentional performance. This study employed the Gazepoint eye-tracker to assess visual attention in 16 patients diagnosed with mild dementia (Clinical Dementia Rating, CDR = 0.5). Two visual response tasks, digit discrimination, and letter... W. Chu |