Wearable Devices Ltd. (the "Company" or "Wearable Devices") (NASDAQ:WLDS, WLDSW))), a technology growth company specializing in artificial intelligence ("AI")-powered touchless sensing wearables, recently announced the expansion of its Large Motor Unit Action Potential Model ("LMM") into new potential markets, such as predictive health monitoring and cognitive state analytics. This development will enable the broadening of bio-signal intelligence applications beyond wearables and will offer businesses and healthcare providers access to real-time physiological insights for monitoring health and wellness conditions.
This strategic expansion into predictive health monitoring aligns with the rising interest in personalized wellness devices. This interest is now demonstrated at the federal level. U.S. Secretary of Health and Human Services, Robert F. Kennedy Jr., has recently advocated for wearable devices to enhance health monitoring and cognitive well-being, underscoring the public and institutional momentum toward real-time data-driven care.
This announcement follows Wearable Devices' recent introduction of LMM as a groundbreaking AI-driven bio-signal platform focused on gesture-based control in extended reality ("XR") and neural interaction with digital devices. The Company's LMM approach to analyzing muscle activity signals will support the expansion into the field of health monitoring, enabling users to enhance their performance across various domains.
From Passive Monitoring to Proactive Intelligence
Unlike traditional bio-sensors that collect data passively, LMM continuously learns and adapts, turning muscle activity signals from the wrist into actionable insights. The technology is now being evaluated in controlled environments for real-world applications, including:
| ● | Predictive Health Monitoring - Detecting hidden patterns in muscle activity that may indicate early signs of health conditions before symptoms appear, revolutionizing preventive diagnostics and digital health tracking. |
| ● | Cognitive State & Performance Analytics - Monitoring focus, fatigue, and stress levels through muscle tone and micro-movements, optimizing work productivity and mental well-being. |
| ● | Exploring Predictive Analytics - Assessing whether continuous monitoring of neural data can improve AI-driven user behavior predictions. |
A Platform for Innovation: Opening LMM to Business Partners
Recognizing the transformative potential of bio-signal intelligence, Wearable Devices is intending to make LMM available to enterprises, researchers, and developers. The Company's AI-powered bio-signal data platform is expected to enable businesses to: