ΈρευναΥποβοηθούμενη διαβίωση & απομακρυσμένη φροντίδα
Φορετές Συσκευές και Παρακολούθηση
Φορετοί αισθητήρες και έξυπνες συσκευές που υποστηρίζουν την ανεξάρτητη διαβίωση με συνεχή και διακριτική παρακολούθηση.

Οι φορετοί αισθητήρες, τα έξυπνα ρολόγια και τα κινητά τηλέφωνα μπορούν να παρακολουθούν συνεχώς και διακριτικά την κίνηση και τις ζωτικές ενδείξεις. Αναπτύσσουμε συστήματα υποβοηθούμενης διαβίωσης που μετατρέπουν αυτά τα σήματα σε ειδοποιήσεις, πίνακες παρακολούθησης και υπηρεσίες για ηλικιωμένους, ασθενείς και φροντιστές.
Οι πλατφόρμες μας επεξεργάζονται αδρανειακά και φυσιολογικά δεδομένα σε πραγματικό χρόνο, ενεργοποιούν προκαθορισμένες ενέργειες, όπως SMS, email ή ειδοποιήσεις στο νέφος, και ενσωματώνουν φορετές συσκευές IoT σε υπηρεσίες τηλεπαρακολούθησης. Πρόσφατες εργασίες επεκτείνουν αυτή την έρευνα στην ανάλυση βάδισης μετά από εγκεφαλικό επεισόδιο και στην παρακολούθηση του άγχους και της ευεξίας στην τριτοβάθμια εκπαίδευση.
- Αδρανειακή και φυσιολογική καταγραφή
- Ειδοποιήσεις και πίνακες τηλεπαρακολούθησης
- Ανάλυση βάδισης, άγχους και ευεξίας
Σχετικές δημοσιεύσεις
Επιλεγμένες εργασίες του εργαστηρίου σε αυτό το πεδίο.
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Smart Insoles With Textile Capacitive Sensors for Efficient Gait Phase Recognition
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Design and Implementation of a Platform for Managing Stress and Anxiety in Higher Education Based on Wearable Devices *
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Students
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Recommender Systems for IoT Enabled m-Health Applications
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On the Integration of Wearable Sensors in IoT Enabled mHealth and Quantified-self Applications
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Managing Wearable Sensor Data through Cloud Computing
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An overview of body sensor networks in enabling pervasive healthcare and assistive environments
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Optimizing pervasive sensor data acquisition utilizing missing values substitution
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Adoption of Wearable Systems in Modern Patient Telemonitoring Systems
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Advanced Sound and Distress Speech Expression Classification for Human Status Awareness in Assistive Environments
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An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
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Fatigue and Burnout Management in Nursing Staff Using Wearable Data
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