PhD+: Tactile Sensing with AI Accelerations for Smart Mobility Systems
Aston UniversityBirmingham, United Kingdom
Course overview
This project proposes an AI-enabled tactile sensing framework for driver fatigue detection in smart mobility systems. It will exploit advanced tactile and pressure-sensing surfaces, combined with intelligent signal processing and machine learning, to capture subtle changes in posture, grip, seat pressure distribution, and micro-movements associated with fatigue progression.
Key highlights
- Develops AI-enabled tactile sensing for driver fatigue detection
- Uses advanced tactile and pressure-sensing surfaces
- Combines intelligent signal processing with machine learning
- Analyses posture, grip, seat pressure and micro-movements linked to fatigue
- Research focused on smart mobility systems
Entry requirements
- IELTS: 6.5 — 6.5 IELTS 6.5 overall (component minima vary by programme; see university English-language requirements)
Careers this course leads to
- Postdoctoral research associate
- Machine learning engineer
- Sensor systems engineer
- Automotive safety systems engineer
- Signal processing engineer
- University lecturer
Admission
Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Aston University, and guide you through interview, offer, CAS and visa — right up to enrolment.
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