T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-03-30
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 42
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking | Route /signal-canvas/t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking",
    "query_text": "Summarize T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking",
  "normalized_query": "2603.26403",
  "route": "/signal-canvas/t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking",
  "paper_ref": "t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 12

References: 42

Proof: Verification pending

Freshness state: computing

Source paper: T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

PDF: https://arxiv.org/pdf/2603.26403v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-30T21:52:55.457Z

Signal Canvas receipt window

Watch and verify: T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

/buildability/t-800-an-800-hz-data-glove-for-precise-hand-gesture-tracking

Watchwatch

Subject: T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 12Mixed 0Weak 0

Evidencepartial
Here we introduce T-800, a high-bandwidth data glove system that achieves synchronized, full-hand motion tracking at 800 Hz.
Implicationpartial
This is a core claim stated directly in the abstract and supported by the system's name and specifications in the comparison table.
Verificationpartial
partial
Evidencepartial
By integrating a novel broadcast-based synchronization mechanism with a mechanical stress isolation architecture, our system maintains sub-frame temporal alignment across 18 distributed inertial measurement units (IMUs) during extended, vigorous movements.
Implicationpartial
The abstract explicitly mentions the broadcast-based synchronization mechanism and the number of IMUs, which is also reflected in the comparison table.
Verificationpartial
partial
Evidencepartial
Our analysis reveals that human dexterity exhibits significantly high-frequency motion energy (>100 Hz) that was fundamentally inaccessible due to the Nyquist sampling limit imposed by previous hardware constraints.
Implicationpartial
This claim is a direct finding from the analysis of the data captured by the T-800 system, as stated in the abstract.
Verificationpartial
partial
Evidencepartial
We demonstrate that T-800 recovers fine-grained manipulation details previously lost to temporal undersampling.
Implicationpartial
This is a direct outcome and benefit of the T-800 system's high temporal resolution, as stated in the abstract.
Verificationpartial
partial
Evidencepartial
By integrating a novel broadcast-based synchronization mechanism with a mechanical stress isolation architecture, our system maintains sub-frame temporal alignment across 18 distributed inertial measurement units (IMUs) during extended, vigorous movements.
Implicationpartial
The abstract mentions this architecture as a key component for achieving the system's goals, and the system overview section elaborates on it.
Verificationpartial
partial
Evidencepartial
This comprehensive coverage ensures the capture of the complete kinematic chain from the wrist to the fingertips, leaving no joint unmeasured.
Implicationpartial
The description of the sensor topology and its alignment with the skeletal structure of the hand supports this claim.
Verificationpartial
partial
Evidencepartial
This demonstrates that the high-frequency motion data can be accurately translated while respecting the kinematic constraints of robotic hands, providing the rich behavioral data necessary for training robust control policies in the future.
Implicationpartial
This is a key demonstration of the system's utility for robotic manipulation, as stated in the abstract.
Verificationpartial
partial
Evidencepartial
Here we introduce T-800, a high-bandwidth data glove system that achieves synchronized, full-hand motion tracking at 800 Hz.
Implicationpartial
This is a core claim stated directly in the abstract and supported by the title and table comparing systems.
Verificationpartial
partial
Evidencepartial
By integrating a novel broadcast-based synchronization mechanism with a mechanical stress isolation architecture, our system maintains sub-frame temporal alignment across 18 distributed inertial measurement units (IMUs) during extended, vigorous movements.
Implicationpartial
This claim describes the key technical innovations of the system, as stated in the abstract and elaborated in the system overview.
Verificationpartial
partial
Evidencepartial
We demonstrate that T-800 recovers fine-grained manipulation details previously lost to temporal undersampling.
Implicationpartial
This claim highlights a key benefit and result of using the T-800 system, directly stated in the abstract.
Verificationpartial
partial
Evidencepartial
Our analysis reveals that human dexterity exhibits significantly high-frequency motion energy (>100 Hz) that was fundamentally inaccessible due to the Nyquist sampling limit imposed by previous hardware constraints.
Implicationpartial
This is a significant finding derived from the use of the T-800 system, as stated in the abstract.
Verificationpartial
partial
Evidencepartial
our system maintains sub-frame temporal alignment across 18 distributed inertial measurement units (IMUs) during extended, vigorous movements.
Implicationpartial
The number of IMUs is a specific technical detail mentioned in the abstract and confirmed in the system overview.
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

T-800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface