Description
Book Synopsis.- Early Prediction of Agitation in Community-Dwelling People with Dementia using Multimodal Sensors and Machine Learning: Benchmarking of State-of-the-Art Techniques.
.- Conversational AI for Cognitive, Emotional, and Social Engagement of Elderly Persons: A Large Language Model-Based Framework.
.- Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment.
.- Continuous Monitoring of Emotional Decline in Older Chinese Adults via Hierarchical Temporal Inference.
.- Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering.
.- Transforming Digital Reminder Systems for Dementia Care into Behavioral Anomaly Detectors: A Proof-of-Concept Using LSTM Autoencoders.
.- BabaSpeech: A Deep Learning-Based Translation of Sign Language into Lingala Text and Speech for Deaf-Mute Inclusivity.
.- Scene Invariant Cross Camera Anomaly Detection of Behaviours of Risk in People with Dementia.
.- Enhancing Diabetic Foot Ulcer Assessment through Fine-tuned Vision-Language Models.
.- Brain Imaging and Tissue Segmentation from Paired CT-MRI Labels for Cognitively Normal and Dementia Cohort.
