Optimering av taktil återkoppling i flera zoner : En beräkningseffektiv metod för fas- och aktiveringssekvensering

Deafblindness has attracted more and more attention in recent years because it has a great impact on the quality of human daily life, and also affects their mental health. Some people get this kind of disability through illness or accident, while others are born with disability. This kind of condition, especially when they were born with deaf blindness, will lead to serious developmental and psychological problems and also will place a great burden on families. This study was initiated by the National Resource Centre for Deafblindness (Nationellt kunskapscenter för dövblindfrågor, Nkcdb), which wants to improve this situation and help those people. Haptic feedback systems have been developed to help deafblindness children to communicate with their parents. These systems usually use multi-zone vibration patterns to pass the information through touch. Linear resonant actuators (LRAs) are usually used in this kind of system to generate localized vibrations. However, LRAs are typically placed in a small area, which often causes mechanical and electrical interference that distorts the feedback signal and reduces tactile clarity, thereby reducing the accuracy of the device's vibration signal. So there is a need to solve this problem. A simulation-based case study was conducted using a 2×2 LRA array placed within a silicone pad interface, representing a wearable configuration for a congenitally deaf-blind child. The study simulated the electromechanical behavior and actuator interactions in optimized and unoptimized vibration modes. By evaluating parameters such as frequency energy distribution, phase coherence, and spatial interference, the case study validated the effectiveness of the proposed algorithm in reducing actuator interference and enhancing tactile clarity. This scenario can serve as a representative example for future deployment of optimized tactile systems in assistive communication devices. This study develops the Vibration Sequencing Algorithm (VSA) to address actuator interference. VSA is an algorithm based on the genetic algorithm framework. In this project, a mathematical model of the system is first established and then transformed into an optimization problem. Then, a method based on the non-dominated sorting genetic algorithm (NSGA) is used to generate the optimized vibration sequence. Experimental results show that the algorithm significantly reduces the mutual interference between actuators and improves the clarity of tactile feedback.