Feat/voice haptics bot detection training - #1104
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chinweobtagaz merged 4 commits intoAug 26, 2026
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Implements useHaptics hook using Web Vibration API with patterns for move, capture, check, and game over events. Adds haptic toggle to SoundSettings with test buttons and graceful degradation. 🤖 Generated with Codebuff Co-Authored-By: Codebuff <noreply@codebuff.com>
…suite Implements parse_voice_move() for converting spoken chess moves into UCI notation. Supports piece-to-square, captures, castling, shorthand, phonetic normalization (night->knight, see four->c4), and board-aware disambiguation. Returns structured VoiceMoveResult with UCI, SAN, and confidence score. 🤖 Generated with Codebuff Co-Authored-By: Codebuff <noreply@codebuff.com>
Implements trajectory classification analyzing velocity profiles, acceleration jitter, curvature deviation, and click dwell time. Detects bot signatures: teleports, straight lines, constant speed, and superhuman velocity. Gracefully ignores touch devices. 31 tests covering human vs bot accuracy. 🤖 Generated with Codebuff Co-Authored-By: Codebuff <noreply@codebuff.com>
Implements dual-headed architecture (Value Head + Policy Head) with residual blocks, cosine annealing LR, mixed precision, and WandB integration. Includes board encoding, synthetic dataset generation, and 30 tests for encoding, model forward/backward pass, and loss. 🤖 Generated with Codebuff Co-Authored-By: Codebuff <noreply@codebuff.com>
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TASK 1: Haptic Feedback (16 tests pass)
frontend/hook/useHaptics.ts — Vibration API hook with patterns for move/capture/check/gameOver
frontend/components/SoundSettings.tsx — Toggle with test buttons, localStorage persistence
frontend/tests/useHaptics.test.ts — 16 tests, all passing
Closes #1033
TASK 2: Voice Command Parser (141 tests pass)
agent-engines/gpu_worker/nl_intent_parser.py — parse_voice_move() handles piece-to-square, captures, castling, shorthand, phonetic normalization, board-aware disambiguation
agent-engines/tests/test_voice_parser.py — 100-command corpus, all passing
Closes #1075
TASK 3: Bot Detection Model (31 tests pass)
agent-engines/gpu_worker/player_behavior_monitor.py — Trajectory kinematics: velocity, acceleration jitter, curvature, dwell time. Detects teleports, straight lines, constant speed, superhuman velocity
agent-engines/tests/test_behavior_monitor.py — 31 tests including human vs bot accuracy
Closes #1076
TASK 4: Training Pipeline (code complete, tests need PyTorch)
agent-engines/gpu_worker/train_valuation_head.py — Dual-headed Value+Policy architecture with ResBlocks, mixed precision, DDP, WandB, cosine annealing
Closes #1077