[Eeglablist] 🧠[Meetings] [CFP] IEEE SMC 2026 Workshop - NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine Interfaces by Integrating Biological, Physical, and Spatial Intelligence with Generative AI

[NeuroWearX]

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Call for Papers
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2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC
2026)
https://urldefense.com/v3/__https://www.ieeesmc2026.org/__;!!Mih3wA!Gy0W9JXqeG58xlmu5VNwBJqCnYB_HxkF0A8re-ji4o41CQvdPcTa404PRL6BVyG2l8ATh62Ie3DgnZxZIProwNGJ-WX6UPE$ 

(* IEEE SMC 2026 Workshop)

NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine
Interfaces by Integrating Biological, Physical, and Spatial Intelligence
with Generative AI

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Overview
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Wearables, assistive robots, and smart IoT systems are rapidly becoming
part of everyday life. However, many of today’s wearable computing and
human–machine interfaces still feel “smart, yet not quite helpful.” They
are often fragmented, difficult to personalize, and frequently struggle to
transform rich but noisy multimodal signals, such as physiology (e.g.,
heart rate, neural/muscle activity), body movement, and environmental
context, into reliable, meaningful real-world support. At the same time,
generative AI and foundation/world models are reshaping the landscape,
shifting the paradigm beyond isolated sensors and single-purpose algorithms
toward integrated, adaptive, context-aware Human–AI–Machine systems.

To make the use of these technologies feel like a natural extension of
ourselves, this workshop brings together researchers and practitioners
across biosensing and measurement, neuroscience, AI, robotics, ubiquitous
computing, and human-centered design to define the next frontier of
Empowered Co-Intelligence: wearable interfaces that fuse three
complementary “intelligences”—(1) biological intelligence, to infer human
state and intent by modeling how people naturally think and behave; (2)
physical/embodied intelligence, which understands body dynamics and
real-world physics so interaction and assistance remain safe and effective;
and (3) spatial intelligence, to leverage nearby sensors, IoT devices and
smart environments for continuous situational awareness. These capabilities
are further amplified by generative AI—models trained on large-scale data
that can integrate heterogeneous signals to predict, reason, and
adapt—enabling systems to become more personalized and context-aware.
Together, these capabilities can overcome the limits of noisy on-body
sensing and constrained wearable computing by turning fragmented
measurements into coherent, actionable assistance.

Our vision is an AI that operates quietly in the background, like an
invisible artificial cortex running in parallel with your own cerebral
cortex and coordinating across different lobes: not simply following rules,
but learning your patterns, anticipating your needs, and adjusting in real
time. The result is 24/7 support for thinking, decision-making, and
physical action that feels intuitive, seamless, and low in cognitive
effort.

Beyond new algorithms, we also emphasize human-centered evaluation, trust,
accessibility, and inclusive augmentation, with the goal of accelerating
research that advances wearable computing into reliable, scalable, and
equitable systems—technologies that truly co-evolve with users over time.

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Topics of Interest
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We welcome research papers, short/WiP papers, and position/vision papers on
(but not limited to) the following areas aligned with multimodal
perception–decision–action cycles, shared autonomy, personalization,
safety, and real-world robustness on wearable technologies.

(A) Biological intelligence: sensing human state & intent

  • Multimodal biosensing: EEG/EMG/ECG/EDA/PPG/respiration, inertial +
physiological fusion

  • Robust biosignal decoding in-the-wild: drift handling, motion
artifacts, missing data, calibration-free methods

  • Intent recognition and user-state estimation (fatigue, stress,
attention, readiness, motor intent)

  • Personalized adaptation across users: domain adaptation, continual
learning, few-shot personalization

  • Privacy-preserving on-body learning and secure biosignal pipelines

(B) Physical intelligence: embodied assistance & safe action

  • Embodied AI for wearable augmentation: biomechanics, dynamics, control,
and safe shared autonomy

  • Wearable robotics and human–robot physical interaction (exoskeletons,
prostheses, assistive devices)

  • Safety, stability, and fail-safe design in closed-loop wearable control

  • Human factors and ergonomics for physical assistance; workload-aware
support

  • Verification/validation of embodied policies for assistive wearable
systems

(C) Spatial intelligence: context from environments, robots & smart IoT

  • Context-aware wearable computing using smart environments, robots, and
IoT integration

  • Scene understanding for assistance: activity context, objects, layout,
hazards, and social context

  • Multi-device sensing orchestration (wearable + phone + AR + ambient
sensors)

  • Real-world robustness and interoperability across heterogeneous devices

(D) Generative AI & foundation/world models for wearables

  • Generative AI / foundation models for wearable time-series, biosignal
representation learning, multimodal fusion

  • World models for prediction, planning, and co-adaptation in
human-centered wearable interaction

  • Edge/on-body inference: efficiency, compression, distillation, and
low-power deployment

  • Uncertainty-aware assistance, reliable decision-making, and
“AI-in-the-background” support

(E) Human-centered NeuroDesign, evaluation & impact

  • Human-centered interface design: intuitive/subconscious interaction,
trust, transparency, explainability

  • UX evaluation in real-world settings: accessibility, equity, inclusive
augmentation

  • Ethical, privacy, and governance considerations for always-on wearable
intelligence

  • Application domains: assistive augmentation, rehabilitation, health
monitoring, everyday support

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Submission Instructions
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• Submission deadline: March 22, 2026

• Submission site at 2026 IEEE International Conference on Systems, Man,
and Cybernetics (Papercept):
https://urldefense.com/v3/__https://conf.papercept.net/conferences/scripts/start.pl__;!!Mih3wA!Gy0W9JXqeG58xlmu5VNwBJqCnYB_HxkF0A8re-ji4o41CQvdPcTa404PRL6BVyG2l8ATh62Ie3DgnZxZIProwNGJfikfhq4$ 

• Submission code: dt3i1
(Use the submission code "dt3i1" during the Papercept submission process to
route your paper to this workshop.)

• Please follow the IEEE SMC 2026 submission guidelines and formatting
requirements.
IEEE SMC 2026 submission guidelines:
https://urldefense.com/v3/__https://www.ieeesmc2026.org/call-for-papers__;!!Mih3wA!Gy0W9JXqeG58xlmu5VNwBJqCnYB_HxkF0A8re-ji4o41CQvdPcTa404PRL6BVyG2l8ATh62Ie3DgnZxZIProwNGJKpvHr50$ 

Best regards,
Organizing Committee
NeuroWearX Workshop @ IEEE SMC 2026
Website: https://urldefense.com/v3/__https://www.ieeesmc2026.org/Content/3015153.html__;!!Mih3wA!Gy0W9JXqeG58xlmu5VNwBJqCnYB_HxkF0A8re-ji4o41CQvdPcTa404PRL6BVyG2l8ATh62Ie3DgnZxZIProwNGJdPRIQ1k$ 
Email: info.neurowearx at gmail.com