#表情捕捉
Live, measured metrics for the hashtag #表情捕捉 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #表情捕捉
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-24 05:47 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-08-24 05:47 UTCNo related tags with measured usage found for #表情捕捉.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-24 05:47 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 1
Used together with
Top of the latest posts
🌘 LiveLinkFace ARKit 接收器：將 iPhone 表情捕捉即時導入 Blender ➤ 用你的表情，讓 Blender 模型活起來！ ✤ https://github.com/shun126/livelinkface_arkit_receiver/wiki 此文介紹了「LiveLinkFace ARKit Receiver」 Blender 插件，該插件能接收 iPhone 上 Live Link Face App 傳送的臉部追蹤資料，並自動將其應用於 B
#表情捕捉 across platforms
every network with a public tag surfaceFollow #表情捕捉 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/表情捕捉