Litcius/Paper detail

Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester

Yoonsang Ra, Dong-Jun Kim, Mi Song Nam, Sumin Cho, Yu-Seop Kim, Seong Woo Cho, Sunmin Jang, Donghan Lee, Jumyung Um, Yun Jung Heo, Dongwhi Choi

2025Biosensors and Bioelectronics6 citationsDOI

Topics & Concepts

MicrocontrollerTriboelectric effectWearable computerBattery (electricity)Computer scienceEnergy harvestingGaitPower (physics)Multilayer perceptronPerceptronSimulationAutomotive engineeringArtificial neural networkArtificial intelligenceEngineeringEmbedded systemMaterials sciencePhysiologyQuantum mechanicsComposite materialBiologyPhysicsAdvanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting TechnologiesGait Recognition and Analysis
Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester | Litcius