Sleep and Activity Tracking Patents: Who Leads, Where the Gaps Are 2026
- Filing peaked in 2022 at 9 records and has not returned to that level since, suggesting the field is consolidating around a small set of approaches rather than expanding into new ones.
- A61B dominates the IPC mix with all 18 records touching it while G16H healthcare informatics appears in only 5, and adjacent classes like A47D and G08B each carry just a single filing.
- Co-assignee activity is thin and clustered ten pairs total, with the same handful of names — WU CHENSHU, WANG BEIBEI, LIU K J RAY, LAI HUNG QUOC DUC — recurring across the strongest links.
What this dataset covers
This landscape tracks 18 patent families filed between 2015 and 2026 that combine sleep tracking or activity recognition claims with specific technical anchors: accelerometer feature extraction, validation against polysomnography (PSG), battery-life management, user compliance mechanisms, and multi-sensor fusion. The search is scoped to A61B5, G16H40 and G06N3 — diagnosis and surgery instruments, healthcare informatics, and neural-network methods — which keeps the set to filings that make a concrete technical claim rather than general wellness marketing.
Publication activity lags actual filing by roughly 18 months, so any drop-off visible in the most recent year understates real filing volume rather than confirming a slowdown. Read the 2022 peak and subsequent years together, not the last bar in isolation.
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Filing trend and technology mix
Eighteen families is a small, well-defined dataset — the trend and IPC composition below should be read as a signal of where claim activity has concentrated, not as a proxy for overall market size.
A single peak year, no sustained ramp
Filings sit at zero in 2017, climb toward a high of 9 in 2022, and the most recent years show no filings on record — consistent with the 18-month publication lag rather than an actual halt in R&D.
Concentration in diagnostic hardware claims
All 18 records touch A61B (diagnosis and surgery), 5 also touch G16H (healthcare informatics), and only one record each reaches into A47D (children's furniture) and G08B (signalling and alarm systems) — both plausible but barely explored adjacencies.
Shares are the percentage of the 18 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Sleep and Activity Tracking Technology with Eureka
This page is one run against one query. Ask Eureka your own question about sleep and activity tracking technology and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited filings in this set
Method, apparatus, and system for radio based sleep tracking (US20220386945A1)
The filing describes a radio-based approach to sleep tracking: a transmitter sends a wireless signal through a multipath channel in a venue, a receiver captures the resulting signal as altered by a sleeper's motion, and a processor derives a time series of channel information from the difference to infer sleep state — without requiring a worn sensor.Cited 22 times in this dataset, the highest of any record reviewed.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20220386945A1 | Method, apparatus, and system for radio based sleep tracking | 22 |
| 2 | US20230389861A1 | Systems and methods for sleep tracking | 6 |
| 3 | EP4285818A1 | Systems and methods for sleep state tracking | 1 |
Citation counts reflect influence within the searched corpus and skew toward older records; a low count on a recent filing does not mean it is unimportant.
Publication numbers are shown where the record carries one (3 of 3 rows); clicking a row searches Eureka by that number.
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Browse MCP servers →What the filing pattern tells you
Three observations stand out once the trend, the IPC split and the citation table are read together.
Growth has flattened, not accelerated
The midpoint year matches the peak year, which is the signature of a field that rose quickly and then plateaued rather than one still building momentum. New entrants should expect crowded prior art around the core sleep-detection claims filed through 2022.
Diagnostic hardware claims dominate the class mix
Every record in this set touches A61B, and only a quarter also reach into G16H informatics claims. That leaves the software and data-platform side of sleep tracking comparatively open relative to the hardware and sensing side.
One radio-based approach anchors the citation graph
US20220386945A1's radio-based, non-contact sleep-tracking method is cited well above the next-highest record, marking it as the reference point competitors and examiners measure new radio-sensing filings against.
Collaboration is narrow and repeat-based
The strongest co-filing links all involve the same individual, WU CHENSHU, paired separately with three other named inventors — a pattern of one connected researcher rather than a broad collaborative network.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to sleep and activity tracking technology, with the prior art for and against each one.
Who is filing, and how connected they are
With 18 families total, no single assignee here files at high volume — the field is better described by a few named individuals and organisations with repeat activity than by dominant corporate portfolios.
No assignee shows recent-year filing activity
Every name in the recent-momentum table, from research foundations to individual inventors, shows zero filings in the latest tracked year. Given the publication lag, this reflects reporting delay more than an actual stop in R&D investment.
One inventor sits at the centre of the collaboration graph
WU CHENSHU appears in the three strongest co-assignee pairs, linked separately to WANG BEIBEI, LIU K J RAY, and LAI HUNG QUOC DUC — suggesting a single lab or project group rather than a corporate filing strategy.
A research foundation and a consumer electronics filer both appear, at low volume
Alongside the individual inventors, a scientific research foundation and a major consumer electronics company both hold filings in this set, indicating the space draws interest from both academic and commercial sides without either dominating.
| Assignee | Recent year | YoY |
|---|---|---|
| Alfred E. Mann Foundation for Scientific Research | 0 | — |
| Apple Inc. | 0 | — |
| WU CHENSHU | 0 | — |
| WANG BEIBEI | 0 | — |
| LIU K J RAY | 0 | — |
| LAI HUNG QUOC DUC | 0 | — |
| AU OSCAR CHI LIM | 0 | — |
| SRINIYA M | 0 | — |
Where to take this analysis
The dataset points to a field with concentrated hardware claims and open software adjacencies. These next steps help translate that into a filing or freedom-to-operate decision.
Map claims against US20220386945A1 directly
Its 22 citations make it the reference point for radio-based, non-contact sleep detection; any new filing in that space should be checked against its claim scope first.
Run a claim comparison in EurekaExplore the G16H informatics gap
Only 5 of 18 records touch healthcare informatics claims, leaving data-platform and algorithm-layer approaches to sleep tracking comparatively under-filed relative to sensing hardware.
Search white space in EurekaTrack the WU CHENSHU collaboration cluster
Repeat co-filing among the same small group of named inventors is a useful signal for who to watch as the field's filing pace picks back up post-lag.
Monitor assignees in EurekaCommon questions about this landscape
Within this dataset, the most-cited filing is US20220386945A1, a radio-based sleep tracking method filed by Origin Research Wireless, cited 22 times. The next most-cited records, US20230389861A1 and EP4285818A1, trail well behind at 6 and 1 citations respectively. Citation counts favour older filings simply because they have had more time to accumulate references, so a newer record with fewer citations is not necessarily less significant technically.
Filing activity peaked at 9 families in 2022, and the years since show no further filings on record, but publication typically lags actual filing by around 18 months. That means the apparent drop-off in the most recent years is partly a reporting artefact rather than proof the field has stalled. The honest read is that growth flattened after 2022 rather than continued climbing, with the true recent trajectory still to be confirmed as later filings publish.
The IPC composition shows all 18 records touch A61B diagnostic hardware claims, but only 5 extend into G16H healthcare informatics, and single filings exist each in A47D (children's furniture applications) and G08B (signalling and alarms). That leaves data-platform, informatics-layer, and several adjacent hardware contexts comparatively open relative to the core sensing and diagnostic claims that dominate the set. Anyone filing new claims should look specifically at the informatics and cross-domain application layers rather than core accelerometer or PSG-validation claims, which are already dense.
It is the most-cited record in this dataset, describing a transmitter-receiver system that infers sleep state from how a sleeper's motion alters a wireless multipath signal, without a worn sensor. Its high citation count signals that other filers in radio-based, non-contact sleep sensing treat it as a reference point, which typically means its specific claim language around channel-information time series is worth checking closely before filing a similar method. Whether it actually blocks a given approach depends on the exact claim scope, which requires reading the granted claims rather than the abstract alone.
Co-assignee analysis across the 18 families identifies 10 pairs of collaborating filers, with the strongest links all connected to one individual, WU CHENSHU, who is paired separately with WANG BEIBEI, LIU K J RAY, and LAI HUNG QUOC DUC. This pattern points to a single research group or lab producing multiple related filings rather than a broad industry-wide collaboration network. Momentum data also shows a research foundation and a major consumer electronics company among the named assignees, though neither shows filing activity in the latest tracked year.
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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.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.