Datasets:
Update README.md
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README.md
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file for time-series analysis, making it suitable for deep learning models like LSTMs or Transformers on multimodal temporal data. Tags
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include BCI, timelapse, FPS gameplay, intent recognition, multimodal, time-series, RLHF, and sequence modeling.
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## Key Features
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- **Frame-by-Frame Timelapse**: Synchronized image sequences at 320x240 resolution
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- **Multiple Capture Modes**: Manual (LMB), Auto-interval, and Sequence recording
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file for time-series analysis, making it suitable for deep learning models like LSTMs or Transformers on multimodal temporal data. Tags
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include BCI, timelapse, FPS gameplay, intent recognition, multimodal, time-series, RLHF, and sequence modeling.
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This BCI Intent Data Study (conceptual early design) is for training machine learning models for neural signal decoding without needing
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large scale real hardware BCI datasets, addressing data scarcity and privacy issues around BCI intent studies.
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## Key Features
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- **Frame-by-Frame Timelapse**: Synchronized image sequences at 320x240 resolution
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- **Multiple Capture Modes**: Manual (LMB), Auto-interval, and Sequence recording
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