Future of Electronics RESHAPED: Smart interactive label technologies, silicone-based dry electrode biosensing, and AI-boosted neuromuscular tracking.

Intelligent Labels, Biosensing Patches, and Multi-Modal Tracking? Here we introduce the talks to be given in Mountain View at Day 1, Track 1, Session 1 covering smart interactive label technologies, silicone-based dry electrode biosensing, and AI-boosted neuromuscular tracking.

Tapecon | Brad Hull Topic: The Evolution of Smart Labels: From Identification to Intelligent Interaction. Brad explores how standard barcoded identification no longer satisfies the data demands of modern logistics, healthcare, and retail ecosystems. The presentation outlines a versatile toolbox of emerging technologies designed to transform passive packaging into intelligent devices capable of autonomous authentication, sensing, and communication. This work provides original equipment manufacturers (OEMs) with a practical guide to speed up distributed workflows and enable real-time interactive product tracking.

DuPont | Julia Kozhukh Topic: Skin-Friendly Biosensing Patches for Excellent Signal Quality and Patient Comfort. Julia explores the medical and technical challenges of remote cardiac monitoring, where standard patch materials cause skin irritation and suffer from signal degradation during extended patient wear. The talk details an innovative patch design utilizing silicone pressure-sensitive adhesives combined with specialized, silicone-based dry electrodes. This solution delivers an ultra-comfortable, skin-friendly architecture that maintains excellent signal quality to support early clinical detection of post-operative cardiac anomalies.

University of North Carolina | Wubin Bai Topic: Multi-modal noninvasive in vivo biosensing system to leverage sensor-algorithm synergy for enhanced accuracy. Wubin explores the physical limitations of current muscle tracking devices, which are constrained by superficial surface measurements or rigid ultrasound hardware requiring specialized skin coupling. The session introduces a wireless wearable system combining deep-penetrating near-infrared (NIR) light sensors with an integrated inertial measurement unit (IMU). Powered by a recurrent neural network (RNN), this multi-modal platform filters out motion artifacts to deliver highly accurate, non-invasive tracking for rehabilitation feedback and neuromuscular disease diagnostics.

Final early bird rates expire on 30 May. Register Now! Agenda: Link Registration: Link