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Motion-Based HMI Patent Landscape 2026

Motion-Based HMI Patent Landscape 2026
Competitive Landscape
Motion-Based HMI Patent Landscape in 2026

Google LLC holds a decisive lead among the top hundred filers in motion-based human-machine interfaces, with the field showing signs of post-peak consolidation following a high in 2017. Activity is concentrated in a small group of large-platform players, leaving several adjacent technology branches relatively sparse.

91
Patent families in scope
43%
Top-5 share of top-100 filers
-18%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatsnap Insights Team··7 min readVerified by Patsnap Eureka data
Overview

Google leads a concentrated field with a clear tier gap below the top four

Google LLC sits at the top of the applicant ranking, followed by Sony Interactive Entertainment LLC, Microsoft Technology Licensing LLC, and Samsung Electronics Co. Ltd. — four incumbents that together account for the bulk of activity among the hundred largest filers.

The top five filers collectively hold 43% of the combined patent records of the hundred largest filers, signaling a moderately concentrated landscape where a handful of platform-scale companies set the technical agenda and smaller specialists fill narrow niches.

Leading applicants
#ApplicantPatent recordsShare
1Google LLC21
2Sony Interactive Entertainment LLC12
3Microsoft Technology Licensing LLC11
4Samsung Electronics Co., Ltd.10
5Finch Tech Ltd.5
6Meta Platforms Technologies LLC4
7TuringSense Inc.4
8Qualcomm Incorporated4
9Jinan Chaogan Intelligent Technology Co., Ltd.3
10Huawei Technologies Co., Ltd.3
#ApplicantPatent recordsShare
11Robert Bosch GmbH2
12Analog Devices, Inc.2
13Guangzhou Huantek Co., Ltd.2
14PG Tech LLC2
15Sony Group Corporation2
16Wuhan Yuansheng Innovation Technology Co., Ltd.2
17Hanyang University Industry-University Cooperation Foundation1
18Dr. A. Ramesh1
19Lobanov Alexander Sergeevich1
20China University of Geosciences (Wuhan)1
↗ Hover a row · click a company to ask Eureka

This degree of concentration suggests that entrants lacking an established sensor or OS platform will face meaningful prior-art density in core interaction modalities, making differentiation through adjacent branches — such as AI-model integration or domain-specific sensing — the more viable path.

Filings from approximately the last 18–24 months are subject to publication lag and are likely under-counted; the most recent data points should be interpreted cautiously. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Filing volume has eased from a 2017 peak; G06F dominates but sensor and AI branches are growing in share

The annual trend chart and the IPC technology composition chart together reveal both the temporal trajectory of innovation activity and the spread of technical approaches currently in play.

Annual filing trend

Annual filings peaked in 2017 and have eased since, consistent with a post-peak lifecycle stage. A partial rebound is visible around 2022. Data for 2024–2026 are subject to publication lag and should not be read as a confirmed recovery or further decline.

Annual filing trendAnnual values from 2017 to 2026, peaking at 18 in 2017.1820171320181120191020207202113202232023720248202512026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06F (electric digital data processing) dominates the IPC mix by a wide margin, reflecting the software-intensive nature of gesture and motion interpretation. Secondary clusters appear in G01P (velocity and acceleration sensing), A63F (gaming applications), G01S (radar and positioning), and G06N (AI models) — the last two suggesting emerging convergence with spatial computing and machine-learning pipelines.

Technology compositionG06F · Electric digital data processing leads with 109; G01P · Velocity & acceleration 22.G06F · Electric digital …109G01P · Velocity & accele…22A63F · Games & amusements17G01S · Radar, sonar & po…17G06N · Computing based o…16G06K · Data recognition …12G06V · Image/video recog…12G01C · Distance, navigat…11↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
WO2016137735A1Published 2016-09-01

Enhanced motion tracking using a transportable ine…

Microsoft Technology LICENSING, LLC

Technologies are described herein for providing enhanced motion tracking using a transportable inertial sensor. Configurations disclosed herein utilize a first inertial sensor mounted to a device to determine a frame of reference, and a second inertial sensor mounted to an object to determine movement of the object within the frame of reference… (excerpt from the patent abstract)

Enhanced motion tracking using a transportable ine… — patent drawingEnhanced motion tracking using a transportable ine… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Wireless Head Mounted Display with Differential Re…278
2Program Setting Adjustments Based on Activity Iden…202
3Eyewear having human activity monitoring device108
4Devices for controlling computers based on motions…80
5Methods and devices that combine muscle activity s…71
6Natural motion-based control via wearable and mobi…61
7Predictive RF Beamforming for Head Mounted Display60
8System and method for capturing and analyzing moti…51

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment decisions

Four strategic dimensions — maturity, concentration, collaboration, and geography — shape the risk-return profile for any organization considering entry or expansion in motion-based HMI.

Decline

Post-peak field: consolidation underway

The lifecycle evidence places motion-based HMI in a Decline stage, with annual filing volume easing back from its 2017 peak. This does not preclude incremental innovation, but it does suggest that foundational interaction paradigms are well-established and that new filings are increasingly narrowing in scope. R&D investment is better directed toward differentiated sub-domains than broad platform claims.

Lifecycle: Decline
Concentration

Four incumbents control the core; specialists occupy narrow niches

The top five filers account for 43% of patent records among the hundred largest filers, with Google, Sony Interactive Entertainment, Microsoft, and Samsung occupying the first four positions. The tier gap between these incumbents and the next group — Finch Tech, Meta Platforms Technologies, TuringSense, and Qualcomm at four to five patent records each — is substantial. New entrants should expect dense prior art in core gesture-recognition and sensor-fusion claims.

High concentration
Collaboration

No co-applicant activity detected in this corpus

The collaboration evidence shows no recorded co-applicant filings within this dataset. This absence may reflect the proprietary, platform-centric nature of leading players’ strategies, or it may be an artifact of corpus scope. No consortium or joint-development patterns can be confirmed at this time. Organizations seeking partnership signals should extend their search to standards bodies and cross-licensing disclosures outside the patent record.

Evidence pending
Geography

US dominates; China is the key secondary market

The United States is the lead jurisdiction, followed by China, with Europe (EPO) and WIPO (PCT) tied as the next tier. India and Canada appear as minor filings destinations. The US-China pairing reflects where both platform-scale hardware and consumer electronics IP is concentrated. Applicants seeking broad protection should prioritize US and Chinese prosecution; EPO and PCT routes add meaningful coverage for the European and global licensing markets.

US-first, China secondary
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Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: Patsnap Eureka. Jurisdiction counts are at the patent-record level and a family may appear in multiple offices.Explore insights →
Leaders

Google and Microsoft: different trajectories, overlapping core technology focus

The top two momentum-tracked applicants illustrate contrasting strategic postures — one consolidating an established lead and the other arriving as a new entrant with focused, radar-augmented claims.

Leader · Google LLC

Google LLC

Google LLC leads the ranking with 21 patent records, concentrated in G06F 3 (interactive digital data processing), G06V 40 (image and video recognition for human motion), and G01S 7 (radar-based sensing). This profile reflects Google’s Soli radar and Pixel gesture-control investments. However, recent filing momentum shows a 57% decline versus the prior period, indicating a slowdown in new prosecution activity rather than continued expansion.

21 patent records
Challenger · Microsoft Technology Licensing LLC

Microsoft Technology Licensing LLC

Microsoft Technology Licensing LLC ranks third with 11 patent records, focused on G06F 3 (digital interaction), G01S 13 (radar and positioning), and G06N 20 (AI/machine-learning models). Its momentum trend is tagged as a new entrant for the recent measurement window — which, given its established position in the overall ranking, likely reflects a concentrated recent burst of filings from a low prior-period base rather than market entry from scratch. The radar-plus-AI combination signals alignment with mixed-reality and spatial-computing use cases.

11 patent records
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Unlock rankings for all 20 named applicants including Sony Interactive Entertainment, Samsung, Finch Tech, and emerging Chinese filers.
Sony Interactive Entertainment LLCSamsung Electronics Co. Ltd.+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Google LLC6▼ -57%
Microsoft Technology Licensing LLC5▲ new entrant
Source: Patsnap Eureka. Patent record counts reflect applicant-level rankings within the top-100 filers list.Explore players →
Adjacent Branches

Under-served branches adjacent to the dominant G06F core

Several IPC branches sit at the periphery of current filing density. These are observations of relative sparsity; only where technical value and entry path are both plausible are they worth treating as potential opportunities.

G06N · AI models for motion interpretation

G06N (computing based on AI models) accounts for a modest share of records relative to G06F’s dominance, yet the convergence of on-device inference with IMU and radar data is technically compelling for reducing latency in gesture recognition. Microsoft and Samsung have each filed in this sub-space, but the overall count remains low. An entrant with proprietary training datasets or edge-inference IP could carve a defensible position here before incumbents consolidate it.

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G01S · Radar and positioning for contactless HMI

G01S (radar, sonar, and positioning) carries the same patent-record share as A63F gaming applications, yet its applicability extends well beyond gaming into automotive cabins, smart-home controls, and health monitoring — domains not yet densely covered in this corpus. Google’s Soli work anchors the sub-space, but most other leading applicants have not filed substantively here. Organizations with mmWave or UWB sensing expertise could find relatively open ground, particularly for non-consumer verticals.

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See the complete adjacent-branch analysis covering all five lower-density IPC clusters identified in the corpus.
G01P · Velocity and acceleration sensingA63F · Games and amusements applications+ more
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Source: Patsnap Eureka. Branch counts are at the patent-record level; sparsity relative to G06F does not automatically imply commercial opportunity.Explore emerging →
Route Matrix

How leading applicants differ across technology routes

Route coverage across the main technology branches in the current evidence set.

PlayerG06F 3 · Electric digital data processingG06F 1 · Electric digital data processingA63F 13 · Games & amusementsG01P 15 · Velocity & accelerationG06V 40 · Image/video recognition
Google LLCStrong · 18Moderate · 7AbsentEmerging · 3Moderate · 9
Sony Interactive Entertainment LLCStrong · 12AbsentStrong · 12AbsentAbsent
Samsung Electronics Co., Ltd.Strong · 10Strong · 6Emerging · 1AbsentAbsent
Microsoft Technology Licensing LLCStrong · 9Emerging · 1AbsentAbsentAbsent
Cermik Labs Inc.Strong · 5Strong · 5AbsentAbsentAbsent
Qualcomm IncorporatedStrong · 4Strong · 4AbsentAbsentAbsent
Source: Patsnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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