Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics.
Luka JovanovicRobertas DamaseviciusRade MaticMilos KabiljoVladimir SimicGoran KunjadicMilos AntonijevicMiodrag ZivkovicNebojsa BacaninPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- convolutional neural networks
- moving platform
- convolutional network
- sensor networks
- sensor fusion
- inertial sensors
- vision system
- tabu search
- sensor technology
- sensor data
- real time
- disease diagnosis
- simulated annealing
- particle swarm optimization
- metaheuristic
- data acquisition
- gesture recognition
- activity recognition
- ant colony optimization
- genetic algorithm