Table 2.
Materials and AI models for AI-integrated soft and wearable electronics
| Category | Materials | DL model/AI computation | Application | References |
|---|---|---|---|---|
| Signal enhancement and compensation | Screen printed silver (Ag) electrode | 2D CNN denoising auto-encoders | Textile ECG noise/motion artifact removal | [19] |
| Hydrogel electrode + AgNW | CNN feature extractor + FC | Rehab motion activity recognition | [24] | |
| PVC/nylon + Cu | Dilated RNN + prototype learning | Lip language decoding | [135] | |
| Ecoflex + Ag electrode array | CNN autoencoder + AdaBoost | Cuffless blood pressure estimation | [143] | |
| Neural architectures for multimodal wearable data | Screen printed silver (Ag) + dielectric ink + conductive hydrogel | Hyperdimensional computing (HDC) | Hand gesture recognition | [144] |
| Polyurethane + Electrospun PAN + Gold (Au) | Bi-LSTM RNN + FC | Hand motion + object recognition | [148] | |
| Ecoflex + Carbon black (CB) + EGaIn | Transformer | Morphology reconstruction | [145] | |
| PI (Polyimide) + Ti + Cu | Temporal CNN/GLU + GNN | Gesture recognition | [140] | |
| microstructured elastomer; flexible substrate | Spike coding + MLP/kNN | Texture classification | [155] | |
| Bio-Inspired synaptic devices and material intelligence | PEDOT:PSS OECT + Au | On-site analog amplification | Electrochemical aptamer-based biosensing | [168] |
| Ag₂S + Ag atomic bridge | In-device Filament/ionic dynamics | Hardware synapse STP/LTP emulation | [169] | |
| Architectures for in-sensor and near-sensor computing | PEDOT:PSS + SEBS + Au + ion-gel + AgNW | Reservoir computing + FC | Biosignal edge computing + EMG | [166] |
| BT NP / P(VDF-TrFE) + pentacene + PI | Synaptic transistor | Tactile sensing/memory/filter | [181] | |
| Personalized healthcare and closed-loop therapeutics | PI/PDMS/PET + Ag/C | XGBoost (cls/reg) + SHAP | Stressor type/anxiety score | [201] |
| PDMS + Ag/AgCl | Autoencoder + LQR + DRL (actor-critic) | Wound stage + adaptive EF/drug | [195] |
FC Fully Connected layer, SHAP SHapley Additive exPlanations, LQR Linear Quadratic Regulator, DRL Deep Reinforcement Learning, CNN Convolutional Neural Network, RNN Recurrent Neural Network, LSTM Long Short-Term Memory, GNN Graph Neural Network