BikeControl (SwiftControl)
Use Zwift Click, Zwift Play, Shimano Di2, or any Bluetooth controller with MyWhoosh, Rouvy, Zwift, and more. Free to try on iOS, Android, Windows, and macOS.
카메라로 펀치를 세고 자세를 교정해 주며, 실시간으로 세션을 구성합니다. 무료이며 계정 없이 영상은 휴대폰에만 저장됩니다
Counts and reads your punches with the camera, coaches your form, and builds each session from what it sees. Free, no account, video stays on your phone.
스포츠·피트니스JavaScript · CSSGitHub @kennithdones8-glitch온라인운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
최근 완료된 8시간 회차 사이 GitHub 스타 증가량 순
Use Zwift Click, Zwift Play, Shimano Di2, or any Bluetooth controller with MyWhoosh, Rouvy, Zwift, and more. Free to try on iOS, Android, Windows, and macOS.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗A personal boxing development system that runs on your phone, not a fitness tracker. Every session, sparring round, drill, decision and coach note becomes evidence about your boxing. A development model is built from that evidence, and the training plan is the model's output.
It's an installable web app (PWA). It works offline after the first load, and all your data stays on your phone.
┌──────────────────────┐
│ MEMORY (by source) │ coach said · your notes · AI observations · measured
└──────────┬───────────┘
↓
┌─────────────┐ ┌──────────────────┐ ┌─────────────────────┐
│ TRAINING LOG│──→│ DEVELOPMENT MODEL│←──│ CAMERA / VIDEO / IMU│
└─────────────┘ │ 18 skills from │ └─────────────────────┘
│ evidence │
└────────┬─────────┘
↓
┌──────────────────┐ problems · priorities · hypotheses
│ DECISION ENGINE │ recovery · fight camp phase
└────────┬─────────┘
↓
┌──────────────────┐
│ ADAPTIVE PLAN → │ week plan · "what should I train today?"
│ NEXT SESSION │ constraint + opponent rounds
└──────────────────┘
The data model is built around skills, observations, hypotheses, training stimuli (constraints, opponents, patterns), outcomes (per-round metrics, hits, decisions) and coach feedback.
One button on Today. It asks only what it needs (time, equipment, how you feel), then:
coachme.js detectWeaknesses): symptoms from sparring hits, repeated habits, camera measurements, fatigue decay and coach notes are grouped under the habit that causes them ("getting hit backing up isn't the problem; you stay square after your combinations"). Each has a do this / not that replacement and a measurement that tests whether it caught on.Also: combos built on what you already throw, a 4-weekly benchmark (same 3 × 2-min test) to compare months, "my coach disagrees" overrides that the bot remembers, and a plain-language first-run setup.
| # | Feature | Where |
|---|---|---|
| 1 | Skill tree: 18 attributes (footwork, distance, head movement, defense, jab, cross, hooks, uppercuts, combinations, counters, feints, timing, rhythm, angles, ring cutting, clinch, conditioning, fight IQ). Calculated from evidence and never set by hand, each with a confidence level and a list of the evidence behind it | Boxer → Skills |
| 2 | Technique decay detection: compares fresh rounds with late rounds and separates technical weakness (bad even when fresh) from fatigue-induced weakness (fine early, breaks late), with advice for each | Boxer → Analysis |
| 3 | Training transfer score: tracks each pattern through drilling → shadowboxing → bag → sparring (attempted and landed). The camera counts combinations automatically | Boxer → Analysis |
| 4 | "Why did you get hit?" Tap the reason after sparring (failed exit, hands down, rhythm, distance…); results are aggregated over your last 10 sessions and feed the plan | Log (sparring), Boxer → Analysis |
| 5 | Style discovery: tendencies (jab usage, movement, combination volume, body work, exits, counters) found from data, plus the style you currently lean towards, and how it has changed | Boxer → Style |
| 6 | Decision drills: fight scenarios with reaction time; wrong answers come back more often (spaced repetition); repeated mistakes are listed; builds a Fight IQ score | Coach → Fight IQ |
| 7 | Randomised shadowboxing generator: each round gets a constraint and sometimes an opponent, chosen from your weaknesses and gaps in exposure | Train, Today |
| 8 | Constraint-based training: rounds are problems to solve ("every combo ends with an exit"); compliance is auto-scored by the camera where possible, otherwise you rate it | Live session, post-session review |
| 9 | Round-by-round fatigue map: technique / pace / defense / footwork per round, and which one breaks first | Session summary, Boxer → Analysis |
| 10 | Deload / overtraining logic: session load (effort × minutes), acute vs 4-week chronic load, and morning check-ins (sleep, soreness, motivation, resting HR). Detects performance dropping while load rises and cuts volume automatically |
Plus: a round timer with voice combos, the live camera coach, motion-sensor punch counting, a weekly plan built around your gym days, weight tracking in pounds with a pro weight-class picker, progress charts and JSON backup.
The camera and motion sensors only work over https, so the app needs to be hosted. GitHub Pages is already set up:
main. The workflow runs the tests and publishes the web/ folder.https://<your-username>.github.io/<repo-name>/ on your phone.No build step; it's plain HTML/CSS/ES modules.
npm start # serves web/ at http://localhost:8080 (localhost counts as secure, so the camera works)
npm test # unit tests for the whole model: pose analysis, skills, decay, transfer, recovery, hypotheses, engine, plan
| Module | Purpose |
|---|---|
web/js/library.js | Skills, hit reasons, constraints, opponents, decision scenarios, patterns |
web/js/skills.js | Evidence extraction, ratings, proof of improvement, timeline, style |
web/js/analysis.js | Fatigue map, decay, minimum effective dose, transfer, hit analysis, exposure |
web/js/recovery.js | Load, readiness, deload detection |
web/js/hypotheses.js | Hypothesis templates, testing, evaluation |
web/js/engine.js | Problem ranking, priorities, round generator, today's session, AI observations |
web/js/plan.js | Weekly plan, fight camp phases, rescheduling, weight |
web/js/coach.js | Session scoring, feedback, habit memory |
web/js/form.js | Pose → punches (with confidence), combinations, guard, stance, footwork |
web/js/views/* | Boxer, Coach, review and video screens |
web/js/app.js | Today, Plan, Train, Log, live session |
| Today, Plan |
| 11 | Coach memory: coach feedback, your observations, AI observations and measured data are kept separate. Tagged notes are traced over time ("recurring since August; 33% → 30% of hits; still appears under fatigue") | Coach → Memory |
| 12 | Hypothesis system: proposes hypotheses from your data, uses your last 3 weeks as the baseline, runs a 2-week intervention (injected into your plan), then reports supported / refuted / inconclusive with the effect size | Coach → Hypotheses |
| 13 | Minimum effective dose: finds the per-session rep count where jab/cross quality drops and warns you live when you pass it | Boxer → Analysis, live cue |
| 14 | Opponent simulation: 8 archetypes (pressure, counterpuncher, outfighter, southpaw, swarmer, body puncher, volume, clincher) with spoken prompts, plus an exposure map | Live session, Boxer → Analysis |
| 15 | Fight camp mode: set a date and opponent style. 8 weeks out: skill acquisition and volume. 5 weeks: tactical and opponent-specific. 3 weeks: fight-specific intensity. Fight week: taper | Coach → Settings |
| 16 | Skill interference detection: flags training congestion when more than 3 priorities are active, suggests the top 3 and lets you pause the rest | Coach → Priorities |
| 17 | "What should I train today?": objective, why (with evidence), session blocks and minutes, priority order, a "do not add" list, and one tap to start | Today |
| 18 | Development timeline: month by month (weaknesses identified, blocks trained, skills improving) plus you 3 months ago vs now | Boxer → Timeline |
| 19 | Proof of improvement: every skill shows its 8-week change and the measured metrics behind it ("↓ 23% straight-back exits") | Boxer → Skills → tap a skill |
| 20 | Video intelligence: upload a video and it's analysed on-device. Every detection (punch type, guard drop, crossed feet, stance) comes with a confidence %, and you correct it before saving | Train → Analyse video |