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|Subtype = [[Electromyography]] Wristband, [[Gesture Tracker]], Neural Interface
|Subtype = [[Electromyography]] Wristband, [[Gesture Tracker]], Neural Interface
|Platform = [[Meta Ray-Ban Display]], [[Meta Orion]] (prototype)
|Platform = [[Meta Ray-Ban Display]], [[Meta Orion]] (prototype)
|Creator = [[Thomas Reardon]], [[Patrick Kaifosh]]
|Creator = [[Thomas Reardon]], [[Patrick Kaifosh]], [[Viswanath Sivakumar]]
|Developer = [[Meta Platforms]], [[Reality Labs]], [[CTRL Labs]]
|Developer = [[Meta Platforms]], [[Reality Labs]], [[CTRL Labs]]
|Manufacturer = [[Meta Platforms]]
|Manufacturer = [[Meta Platforms]]
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The '''Meta Neural Band''' is a [[wrist]]-worn [[electromyography]] (EMG) [[input device]] developed by [[Meta Platforms]] through its [[Reality Labs]] division. The device uses [[surface electromyography]] ([[sEMG]]) technology to detect electrical signals from [[muscle]] activity in the user's wrist and forearm, translating subtle finger movements and [[hand gestures]] into digital commands for controlling [[augmented reality]] (AR) and [[virtual reality]] (VR) devices.<ref>meta_official_emg</ref>
The '''Meta Neural Band''' is a [[wrist]]-worn [[electromyography]] (EMG) [[input device]] developed by [[Meta Platforms]] through its [[Reality Labs]] division. The device uses [[surface electromyography]] ([[sEMG]]) technology to detect electrical signals from [[muscle]] activity in the user's wrist and forearm, translating subtle finger movements and [[hand gestures]] into digital commands for controlling [[augmented reality]] (AR) and [[virtual reality]] (VR) devices.<ref>meta_official_emg</ref>


Announced at [[Meta Connect]] 2025 on September 17, 2025, and released on September 30, 2025, the Meta Neural Band represents the first consumer product to emerge from Meta's acquisition of [[CTRL Labs]] in 2019.<ref>meta_connect_2025</ref> The device is exclusively bundled with [[Meta Ray-Ban Display]] glasses, priced at $799 USD for the combined package.<ref>uploadvr_handson</ref>
Announced by Meta CEO [[Mark Zuckerberg]] at [[Meta Connect]] 2025 on September 17, 2025, and released on September 30, 2025, the Meta Neural Band represents the first consumer product to emerge from Meta's acquisition of [[CTRL Labs]] in 2019.<ref>meta_connect_2025</ref> The device is exclusively bundled with [[Meta Ray-Ban Display]] AI glasses, priced at $799 USD for the combined package.<ref>uploadvr_handson</ref>
 
==Overview==
The Meta Neural Band is positioned as a neural interface accessory for [[augmented reality]] eyewear, providing low-friction, wrist-based control via sEMG. Meta describes the band as translating "signals created by your muscles (like subtle finger movements) into commands," allowing users to scroll, click, and perform other interactions with minimal motion.<ref>meta_overview</ref> The device enables discrete, always-available interaction without touching the glasses, using voice input, or requiring hands to be visible to cameras.<ref>discrete_interaction</ref>


==History and Development==
==History and Development==
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===Research and Development Timeline===
===Research and Development Timeline===
Meta first publicly demonstrated its EMG wristband technology in March 2021, showcasing research prototypes capable of detecting individual neuron activity.<ref>meta_2021_demo</ref> The company invested four years of development involving nearly 200,000 research participants to create machine learning models that could generalize across different users without requiring per-person calibration.<ref>nature_paper</ref>
Meta first publicly demonstrated its EMG wristband technology in March 2021, showcasing research prototypes capable of detecting millimeter-scale finger motions and individual neuron activity.<ref>meta_2021_demo</ref> The company invested four years of development involving nearly 200,000 research participants to create machine learning models that could generalize across different users without requiring per-person calibration.<ref>nature_paper</ref>


In July 2025, Meta published peer-reviewed research in the scientific journal ''[[Nature]]'', titled "A generic non-invasive neuromotor interface for human-computer interaction."<ref>nature_publication</ref> The paper detailed the technical achievements in creating a high-bandwidth neuromotor interface with out-of-the-box functionality, demonstrating handwriting input at 20.9 words per minute and gesture detection at 0.88 gestures per second.<ref>nature_metrics</ref>
In July 2025, Meta published peer-reviewed research in the scientific journal ''[[Nature]]'', titled "A generic non-invasive neuromotor interface for human-computer interaction."<ref>nature_publication</ref> The paper detailed the technical achievements in creating a high-bandwidth neuromotor interface with out-of-the-box functionality, demonstrating handwriting input at 20.9 words per minute and gesture detection at 0.88 gestures per second.<ref>nature_metrics</ref>
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[[Mark Zuckerberg]] indicated in early 2024 that the neural wristband would ship as a consumer product "in the next few years," with the actual release occurring in September 2025.<ref>zuckerberg_timeline</ref>
[[Mark Zuckerberg]] indicated in early 2024 that the neural wristband would ship as a consumer product "in the next few years," with the actual release occurring in September 2025.<ref>zuckerberg_timeline</ref>
===Development Team===
The development team included key contributors such as [[Thomas Reardon]] (Vice President of Neuromotor Interfaces), [[Patrick Kaifosh]] (Director of Research Science), and [[Viswanath Sivakumar]], who co-created the device during his tenure at Meta's Reality Labs.<ref>development_team</ref> The ''Nature'' paper featured a three-page contributor list indicating the extensive collaborative effort behind the project's development.<ref>contributor_list</ref>


==Technology==
==Technology==
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The Meta Neural Band employs [[surface electromyography]] (sEMG) technology, which measures electrical activity produced by [[skeletal muscles]].<ref>emg_technology</ref> Unlike traditional [[hand tracking]] methods that rely on [[camera]]-based [[computer vision]], sEMG detects the electrical signals transmitted from the [[brain]] through the [[nervous system]] to control muscle movement in the fingers and hand.<ref>semg_explanation</ref>
The Meta Neural Band employs [[surface electromyography]] (sEMG) technology, which measures electrical activity produced by [[skeletal muscles]].<ref>emg_technology</ref> Unlike traditional [[hand tracking]] methods that rely on [[camera]]-based [[computer vision]], sEMG detects the electrical signals transmitted from the [[brain]] through the [[nervous system]] to control muscle movement in the fingers and hand.<ref>semg_explanation</ref>


The wristband contains multiple [[sEMG]] sensors embedded around the circumference of the band, allowing it to capture muscle activation patterns as the user intends to move their fingers.<ref>sensor_array</ref> This approach offers several advantages over optical tracking:
The wristband contains multiple [[sEMG]] sensors (16 channels) embedded around the circumference of the band, allowing it to capture muscle activation patterns as the user intends to move their fingers.<ref>sensor_array</ref> This approach offers several advantages over optical tracking:


* '''Zero occlusion issues''': Functions regardless of hand visibility or lighting conditions, including complete darkness<ref>darkness_functionality</ref>
* '''Zero occlusion issues''': Functions regardless of hand visibility or lighting conditions, including complete darkness<ref>darkness_functionality</ref>
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===Machine Learning and Generalization===
===Machine Learning and Generalization===
A key breakthrough in the Meta Neural Band is its ability to work "out of the box" for new users without requiring individual calibration or training.<ref>no_calibration</ref> Meta's research team collected sEMG data from approximately 10,000 to 200,000 consenting research participants and used deep learning techniques, including [[neural networks]], to identify common patterns in electrical signals across different individuals.<ref>ml_training</ref>
A key breakthrough in the Meta Neural Band is its ability to work "out of the box" for new users without requiring individual calibration or training.<ref>no_calibration</ref> Meta's research team collected sEMG data from approximately 200,000 consenting research participants and used deep learning techniques, including [[neural networks]], to identify common patterns in electrical signals across different individuals.<ref>ml_training</ref>


The system's [[machine learning]] models process EMG signals locally on-device, ensuring [[privacy]] as the raw neural data never leaves the wristband.<ref>local_processing</ref> The models can be further personalized through continued use, potentially improving performance by 16% with user-specific adaptation.<ref>personalization_improvement</ref>
The system's [[machine learning]] models process EMG signals locally on-device, ensuring [[privacy]] as the raw neural data never leaves the wristband.<ref>local_processing</ref> The models can be further personalized through continued use, potentially improving performance by 16% with user-specific adaptation.<ref>personalization_improvement</ref>
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===Physical Construction===
===Physical Construction===
The Meta Neural Band features a lightweight, flexible wristband design made from [[Vectran]], a high-performance synthetic fiber also used in the crash pads of the [[Mars Rover]].<ref>vectran_material</ref> This material provides exceptional strength when pulled while remaining soft and flexible for comfortable all-day wear.<ref>material_properties</ref>
The Meta Neural Band features a lightweight, flexible wristband design made from [[Vectran]], a high-performance synthetic fiber also used in the crash pads of the [[Mars Rover]] and Mars Rover landing systems.<ref>vectran_material</ref> This material is described by Meta as "strong as steel when pulled, yet soft enough to bend," providing exceptional strength while remaining soft and flexible for comfortable all-day wear.<ref>material_properties</ref>


The device is available in three sizes (Size 1, 2, and 3) to accommodate different wrist dimensions.<ref>three_sizes</ref> Proper fit is critical for optimal sEMG signal detection, requiring professional fitting at authorized retailers before purchase.<ref>fitting_requirement</ref> The wristband is offered in two colors: Black and Sand, matching the available color options for Meta Ray-Ban Display glasses.<ref>color_options</ref>
The device is available in three sizes (Size 1, 2, and 3) to accommodate different wrist dimensions.<ref>three_sizes</ref> Proper fit is critical for optimal sEMG signal detection, requiring professional fitting at authorized retailers before purchase.<ref>fitting_requirement</ref> The wristband is offered in two colors: Black and Sand, matching the available color options for Meta Ray-Ban Display glasses.<ref>color_options</ref>
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| Haptic Feedback || Yes (immediate gesture recognition feedback)<ref>haptic_feedback</ref>
| Haptic Feedback || Yes (immediate gesture recognition feedback)<ref>haptic_feedback</ref>
|-
|-
| Sensors || [[sEMG]] sensor array, [[IMU]] (accelerometer, gyroscope, orientation)<ref>sensor_types</ref>
| Sensors || [[sEMG]] sensor array (16 channels), [[IMU]] (accelerometer, gyroscope, orientation)<ref>sensor_types</ref>
|-
|-
| Weight || Lightweight (exact weight not disclosed)<ref>lightweight_design</ref>
| Weight || Lightweight (exact weight not disclosed)<ref>lightweight_design</ref>
|-
|-
| Sizes Available || 3 (Small, Medium, Large)<ref>size_availability</ref>
| Sizes Available || 3 (Small, Medium, Large equivalents)<ref>size_availability</ref>
|-
| Latency || Milliseconds (very low)<ref>latency_spec</ref>
|-
| Materials || [[Vectran]] (durable and flexible)<ref>vectran_spec</ref>
|-
| Colors || Black, Sand<ref>color_spec</ref>
|}
|}


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! Gesture !! Function !! Description
! Gesture !! Function !! Description
|-
|-
| Thumb-to-Index Pinch || Click/Select || Primary selection gesture for activating buttons and links<ref>pinch_click</ref>
| Thumb-to-Index Pinch || Click/Select || Primary selection gesture for activating buttons, links, viewing messages, and selecting photos/videos<ref>pinch_click</ref>
|-
|-
| Thumb-to-Middle Pinch || Back/Menu || Single tap returns to previous screen; double tap toggles display on/off<ref>middle_pinch</ref>
| Thumb-to-Middle Pinch || Back/Menu || Single tap returns to previous screen; double tap toggles display on/off<ref>middle_pinch</ref>
|-
|-
| Thumb Swipe || Scroll || Swiping thumb against side of index finger acts as virtual D-pad for scrolling content<ref>thumb_swipe</ref>
| Thumb Swipe || Scroll/Navigation || Swiping thumb against side of index finger acts as virtual D-pad for scrolling content, navigating through recipe steps, or music playback<ref>thumb_swipe</ref>
|-
|-
| Pinch-and-Twist || Volume/Zoom || Pinching with thumb and index finger while rotating wrist adjusts volume or camera zoom<ref>pinch_twist</ref>
| Pinch-and-Twist || Volume/Zoom || Pinching with thumb and index finger while rotating wrist adjusts volume or camera zoom<ref>pinch_twist</ref>
|}
|}


All gestures can be performed with the hand at rest, at the user's side, in a pocket, or on the lap, without requiring the hand to be raised or visible to cameras.<ref>hands_down_interaction</ref>
All gestures can be performed with the hand at rest, at the user's side, in a pocket, or on the lap, without requiring the hand to be raised or visible to cameras.<ref>hands_down_interaction</ref> The device provides haptic feedback to confirm successful gesture recognition, enhancing user confidence in interactions.<ref>haptic_confirmation</ref>


===Future Input Methods===
===Future Input Methods===
Meta announced plans to release a software update in December 2025 that will enable [[handwriting recognition]] by allowing users to trace letters on a physical surface (such as their leg) with their index finger.<ref>handwriting_update</ref> Research demonstrations have shown the system capable of recognizing handwritten input at approximately 20.9 words per minute, with potential for improvement through personalization.<ref>handwriting_speed</ref>
Meta announced plans to release a software update in December 2025 that will enable [[handwriting recognition]] by allowing users to trace letters on a physical surface (such as their leg) with their index finger.<ref>handwriting_update</ref> Research demonstrations have shown the system capable of recognizing handwritten input at approximately 20.9 words per minute, with potential for improvement through personalization.<ref>handwriting_speed</ref>


Future capabilities may include virtual keyboard emulation, with Meta previously demonstrating prototypes capable of typing speeds approaching traditional keyboard input by around 2028.<ref>keyboard_future</ref>
Future capabilities may include virtual keyboard emulation and typing messages using subtle finger movements on any surface, with Meta previously demonstrating prototypes capable of typing speeds approaching traditional keyboard input by around 2028.<ref>keyboard_future</ref>


==Compatibility and Requirements==
==Compatibility and Requirements==
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* '''[[Orion]] AR Glasses''': Meta's prototype true AR glasses demonstrated at Connect 2024, featuring 70-degree field of view<ref>orion_compatibility</ref>
* '''[[Orion]] AR Glasses''': Meta's prototype true AR glasses demonstrated at Connect 2024, featuring 70-degree field of view<ref>orion_compatibility</ref>
* '''Future AR Glasses''': Consumer versions of true AR glasses planned for release around 2027<ref>future_ar_glasses</ref>
* '''Future AR Glasses''': Consumer versions of true AR glasses planned for release around 2027<ref>future_ar_glasses</ref>
* '''Potential Standalone Use''': [[Mark Zuckerberg]] has suggested the wristband could evolve into its own platform, potentially controlling devices beyond Meta's ecosystem<ref>standalone_potential</ref>
* '''Potential Standalone Use''': [[Mark Zuckerberg]] has suggested the wristband could evolve into its own platform, potentially controlling devices beyond Meta's ecosystem, including [[smart home]] systems, [[gaming consoles]], and [[computers]]<ref>standalone_potential</ref>


==Applications and Use Cases==
==Applications and Use Cases==


===Smart Glasses Control===
===Smart Glasses Control===
The primary function of the Meta Neural Band is controlling [[Meta Ray-Ban Display]] glasses, which feature a monocular [[heads-up display]] (HUD) with 600×600 resolution and approximately 20-degree field of view.<ref>display_specs</ref> Users can navigate the glasses' interface to:
The primary function of the Meta Neural Band is controlling [[Meta Ray-Ban Display]] glasses, which feature a monocular [[heads-up display]] (HUD) with 600×600 resolution and approximately 20-degree field of view.<ref>display_specs</ref> When paired with the Meta Ray-Ban Display glasses, the band facilitates features such as:


* Displaying [[Meta AI]] responses with visuals and visual guidance
* Check notifications
* Check notifications
* View [[Meta AI]] responses with visual guidance
* Hands-free messaging and video calling
* Access navigation with turn-by-turn directions
* Real-time camera previews and media sharing
* Control camera and preview photos
* Access navigation with turn-by-turn directions (beta in select cities)
* View real-time translations
* Live captions and translations in supported languages
* Manage media playback<ref>glasses_features</ref>
* Music control with on-display cards and media playback management<ref>glasses_features</ref>


===Accessibility===
===Accessibility===
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* [[Stroke]] survivors with limited motor function
* [[Stroke]] survivors with limited motor function
* Conditions causing [[tremors]] or involuntary movements
* Conditions causing [[tremors]] or involuntary movements
* Reduced hand dexterity
* Users with fewer than five fingers<ref>accessibility_applications</ref>
* Users with fewer than five fingers<ref>accessibility_applications</ref>


The ability to control devices with minimal movement while hands rest comfortably addresses challenges faced by users who experience pain or fatigue from traditional input methods.<ref>reduced_movement_benefit</ref>
Meta has collaborated with research institutions like [[Carnegie Mellon University]] to develop and refine accessibility features.<ref>carnegie_mellon</ref> The ability to control devices with minimal movement while hands rest comfortably addresses challenges faced by users who experience pain or fatigue from traditional input methods.<ref>reduced_movement_benefit</ref>


==Reception==
==Reception==
===Recognition and Awards===
The Meta Neural Band's recognition as one of [[TIME Magazine]]'s Best Inventions of 2025 highlights its innovative approach to human-computer interaction.<ref>time_award</ref>


===Hands-On Reviews===
===Hands-On Reviews===
Early hands-on reviews from [[Meta Connect 2025]] praised the Meta Neural Band's performance, with several reviewers describing it as working "like magic."<ref>magic_reviews</ref> ''[[UploadVR]]'' reported a 100% gesture recognition success rate during their testing session, with immediate haptic feedback confirming each detected gesture.<ref>uploadvr_success_rate</ref> ''[[Road to VR]]'' noted that the wristband allows "subtle inputs while your hand is down at your side" and called it "just as important to these new glasses as the display itself."<ref>roadtovr_review</ref>
Early hands-on reviews from [[Meta Connect 2025]] praised the Meta Neural Band's performance, with several reviewers describing it as working "like magic."<ref>magic_reviews</ref> ''[[UploadVR]]'' reported a 100% gesture recognition success rate during their testing session, with immediate haptic feedback confirming each detected gesture.<ref>uploadvr_success_rate</ref>
 
''[[Road to VR]]'' noted that the wristband allows "subtle inputs while your hand is down at your side" and called it "just as important to these new glasses as the display itself."<ref>roadtovr_review</ref>


''[[Tom's Guide]]'' described the Meta Ray-Ban Display glasses as "the best smart glasses" they had tested, highlighting the "intuitive wrist gestures" as a key feature.<ref>tomsguide_review</ref>
''[[Tom's Guide]]'' described the Meta Ray-Ban Display glasses as "the best smart glasses" they had tested, highlighting the "intuitive wrist gestures" as a key feature.<ref>tomsguide_review</ref>
===User Feedback===
Early user feedback highlights the band's intuitive control and precision.<ref>user_feedback</ref> Some users noted occasional needs for readjustment during extended use to maintain optimal signal detection.<ref>readjustment_needs</ref> Comparisons have been drawn to similar devices like the [[Mudra Link]], emphasizing the Neural Band's EMG precision and haptic feedback.<ref>mudra_comparison</ref>
Suggestions from users include potential integrations with fitness trackers like [[WHOOP]] for multifunctional wearables, combining health monitoring with gesture control capabilities.<ref>whoop_integration</ref>


===Technical Achievement===
===Technical Achievement===
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===Next-Generation Input Paradigm===
===Next-Generation Input Paradigm===
Meta positions the Neural Band as representing a fundamental shift in [[human-computer interaction]], replacing touchscreens, buttons, and traditional input devices with direct neural signal interpretation.<ref>paradigm_shift</ref> [[Mark Zuckerberg]] described it as potentially becoming "a pretty big deal" and suggested it could evolve beyond AR glasses to become a universal input method for controlling all digital devices, including [[smart home]] systems, [[gaming consoles]], and [[computers]].<ref>zuckerberg_vision</ref>
Meta positions the Neural Band as representing a fundamental shift in [[human-computer interaction]], replacing touchscreens, buttons, and traditional input devices with direct neural signal interpretation.<ref>paradigm_shift</ref> [[Mark Zuckerberg]] described it as potentially becoming "a pretty big deal" and suggested it could evolve beyond AR glasses to become a universal input method for controlling all digital devices.<ref>zuckerberg_vision</ref>


===Privacy and Safety===
===Privacy and Safety===
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* [[Human-computer interaction]]
* [[Human-computer interaction]]
* [[Gesture recognition]]
* [[Gesture recognition]]
* [[Surface electromyography]]


==References==
==References==
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<ref name="meta_connect_2025">Meta Platforms (September 17, 2025). "Meta Ray-Ban Display: AI Glasses With an EMG Wristband". About.fb.com. Retrieved October 13, 2025. https://about.fb.com/news/2025/09/meta-ray-ban-display-ai-glasses-emg-wristband/</ref>
<ref name="meta_connect_2025">Meta Platforms (September 17, 2025). "Meta Ray-Ban Display: AI Glasses With an EMG Wristband". About.fb.com. Retrieved October 13, 2025. https://about.fb.com/news/2025/09/meta-ray-ban-display-ai-glasses-emg-wristband/</ref>
<ref name="uploadvr_handson">Lang, Ben (September 2025). "Meta Ray-Ban Display Hands-On: A Flawless Wristband For Flawed Glasses". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/meta-ray-ban-display-hands-on-meta-neural-band/</ref>
<ref name="uploadvr_handson">Lang, Ben (September 2025). "Meta Ray-Ban Display Hands-On: A Flawless Wristband For Flawed Glasses". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/meta-ray-ban-display-hands-on-meta-neural-band/</ref>
<ref name="ctrl_labs_acquisition">Wagner, Kurt (September 23, 2019). "Facebook buys CTRL-Labs, which makes a bracelet that measures neuron activity". Bloomberg. Retrieved October 13, 2025. https://www.techmeme.com/190923/p32</ref>
<ref name="meta_overview">Meta Newsroom (September 17, 2025). "Meta Ray-Ban Display: AI Glasses With an EMG Wristband". About.fb.com. Retrieved October 13, 2025. https://about.fb.com/news/2025/09/meta-ray-ban-display-ai-glasses-emg-wristband/</ref>
<ref name="discrete_interaction">Meta Platforms (2025). "EMG Wristbands and Technology - Discrete Interaction". Meta.com. Retrieved October 13, 2025. https://www.meta.com/emerging-tech/emg-wearable-technology/</ref>
<ref name="ctrl_labs_acquisition">The Verge (September 23, 2019). "Facebook acquires neural interface startup CTRL-Labs for its mind-reading wristband". TheVerge.com. Retrieved October 13, 2025. https://www.theverge.com/2019/9/23/20881032/facebook-ctrl-labs-acquisition-neural-interface-armband-ar-vr-deal</ref>
<ref name="techspot_emg">Spencer, Allen (July 24, 2025). "Meta builds wristband that can control devices with a flick of the wrist". TechSpot. Retrieved October 13, 2025. https://www.techspot.com/news/108797-meta-builds-wristband-can-control-devices-flick-wrist.html</ref>
<ref name="techspot_emg">Spencer, Allen (July 24, 2025). "Meta builds wristband that can control devices with a flick of the wrist". TechSpot. Retrieved October 13, 2025. https://www.techspot.com/news/108797-meta-builds-wristband-can-control-devices-flick-wrist.html</ref>
<ref name="reardon_meta">Mixed News (April 29, 2024). "A key figure in Meta's AR research is stepping down". Mixed-news.com. Retrieved October 13, 2025. https://mixed-news.com/en/thomas-reardon-meta-departure/</ref>
<ref name="reardon_meta">Mixed News (April 29, 2024). "A key figure in Meta's AR research is stepping down". Mixed-news.com. Retrieved October 13, 2025. https://mixed-news.com/en/thomas-reardon-meta-departure/</ref>
<ref name="meta_2021_demo">UploadVR (March 20, 2023). "Facebook AR/VR VP: CTRL Labs Wristbands Years, Not Decades, Away". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/facebook-bosworth-ctrl-labs-years/</ref>
<ref name="meta_2021_demo">Meta (About Facebook) (March 18, 2021). "Inside Facebook Reality Labs: Wrist-Based Interaction for the Next Computing Platform". About.fb.com. Retrieved October 13, 2025. https://about.fb.com/news/2021/03/inside-facebook-reality-labs-wrist-based-interaction-for-the-next-computing-platform/</ref>
<ref name="nature_paper">Kaifosh, Patrick; Reardon, Thomas R.; et al. (July 23, 2025). "A generic non-invasive neuromotor interface for human-computer interaction". Nature. Retrieved October 13, 2025. https://www.nature.com/articles/s41586-025-09255-w</ref>
<ref name="nature_paper">Kaifosh, Patrick; Reardon, Thomas R.; et al. (July 23, 2025). "A generic non-invasive neuromotor interface for human-computer interaction". Nature. Retrieved October 13, 2025. https://www.nature.com/articles/s41586-025-09255-w</ref>
<ref name="nature_publication">Kaifosh, Patrick; Reardon, Thomas R.; CTRL-labs at Reality Labs (July 23, 2025). "A generic non-invasive neuromotor interface for human-computer interaction". PubMed. PMID 40702190. Retrieved October 13, 2025. https://pubmed.ncbi.nlm.nih.gov/40702190/</ref>
<ref name="nature_publication">Kaifosh, Patrick; Reardon, Thomas R.; CTRL-labs at Reality Labs (July 23, 2025). "A generic non-invasive neuromotor interface for human-computer interaction". PubMed. PMID 40702190. Retrieved October 13, 2025. https://pubmed.ncbi.nlm.nih.gov/40702190/</ref>
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<ref name="ceres_codename">Lang, Ben (July 24, 2025). "Meta Details EMG Wristband Gestures You'll Use To Control Its HUD & AR Glasses". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/meta-semg-wristband-gestures-nature-paper/</ref>
<ref name="ceres_codename">Lang, Ben (July 24, 2025). "Meta Details EMG Wristband Gestures You'll Use To Control Its HUD & AR Glasses". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/meta-semg-wristband-gestures-nature-paper/</ref>
<ref name="zuckerberg_timeline">Lang, David (March 21, 2024). "Zuckerberg: Neural Wristband To Ship In 'Next Few Years'". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/zuckerberg-neural-wristband-will-ship-in-the-next-few-years/</ref>
<ref name="zuckerberg_timeline">Lang, David (March 21, 2024). "Zuckerberg: Neural Wristband To Ship In 'Next Few Years'". UploadVR. Retrieved October 13, 2025. https://www.uploadvr.com/zuckerberg-neural-wristband-will-ship-in-the-next-few-years/</ref>
<ref name="development_team">X (formerly Twitter) (2025). "Viswanath Sivakumar on X". X.com. Retrieved October 13, 2025. https://x.com/viswanathgs/status/1977179351969153489</ref>
<ref name="contributor_list">From the Interface (2025). "Beyond Handwriting: Speculating on what is next for Ctrl Labs' Wristband Neural Interface". From-the-Interface.com. Retrieved October 13, 2025. https://www.from-the-interface.com/ctrl-labs-neural-interface-beyong-handwriting/</ref>
<ref name="emg_technology">Expand Reality (January 9, 2025). "Meta are Enhancing VR Experiences with Neural Wristbands". ExpandReality.io. Retrieved October 13, 2025. https://blogs.expandreality.io/meta-are-enhancing-vr-experiences-with-neural-wristbands</ref>
<ref name="emg_technology">Expand Reality (January 9, 2025). "Meta are Enhancing VR Experiences with Neural Wristbands". ExpandReality.io. Retrieved October 13, 2025. https://blogs.expandreality.io/meta-are-enhancing-vr-experiences-with-neural-wristbands</ref>
<ref name="semg_explanation">Martin, Cade (September 2025). "Hands-on: Meta Ray-Ban Display Glasses & Neural Band Offer a Glimpse of Future AR Glasses". Road to VR. Retrieved October 13, 2025. https://www.roadtovr.com/hands-on-meta-ray-ban-display-glasses-neural-band-offer-a-glimpse-of-future-ar-glasses/</ref>
<ref name="semg_explanation">Martin, Cade (September 2025). "Hands-on: Meta Ray-Ban Display Glasses & Neural Band Offer a Glimpse of Future AR Glasses". Road to VR. Retrieved October 13, 2025. https://www.roadtovr.com/hands-on-meta-ray-ban-display-glasses-neural-band-offer-a-glimpse-of-future-ar-glasses/</ref>
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<ref name="precision_tracking">Virtual Reality Society (March 5, 2024). "Zuckerberg Suggests Meta Neural Wristband Will Launch 'In Next Few Years'". VRS.org.uk. Retrieved October 13, 2025. https://www.vrs.org.uk/zuckerberg-suggests-meta-neural-wristband-will-launch-in-next-few-years/</ref>
<ref name="precision_tracking">Virtual Reality Society (March 5, 2024). "Zuckerberg Suggests Meta Neural Wristband Will Launch 'In Next Few Years'". VRS.org.uk. Retrieved October 13, 2025. https://www.vrs.org.uk/zuckerberg-suggests-meta-neural-wristband-will-launch-in-next-few-years/</ref>
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[[Category:Human-computer interaction]]
[[Category:Human-computer interaction]]
[[Category:2025 in computing]]
[[Category:2025 in computing]]
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