work_packages = [{
    'title': 'Inclusive Gesture Recognition Models (4 PM)',
    'duration':9,
    'start': 0,
    'method': """
        Develop an initial gesture recognition baseline using existing datasets (e.g.,
        $Q, public gesture datasets with diverse motion pattern). Apply unsupervised ML
        techniques like Dynamic Time Warping (DTW) for feature extraction. Build on
        these techniques for pretraing supervised ML datasets while identifying biases.
        Check disparity in model accuracy across participant groups. Assure user studies
        will be conducted in compliance with GDPR and relevant ethics approvals.
        """,
}, {
    'title': 'Motor Variability in Interaction',
    'duration': 7,
    'start': 6,
    'method': """
        Conduct at least 3 mixed-method user studies with ~30 participants across three
        groups: (1) ageing adults (n≈10), (2) participants with motor
        impairments/disabilities (n≈10), and (3) expert movers/performers (n≈10). Both
        quantitative kinematic data (motion capture, wearable sensors) and qualitative
        data (interviews, observations) will be collected. Motor variability will be
        modelled using clustering algorithms (e.g., k-means, Gaussian mixture models)
        and nonlinear statistical analyses to capture individual patterns. Build
        statistical models to capture variability. The prototype developed in WP1 will
        serve as the baseline architecture for the user studies in WP2. Fuse statistical
        insights with supervised ML to allow the system to adapt rather than enforce
        rigid categories.
    """,
} , {
    'title': 'Inclusive, Embodied, and Ecofeminist System Refinement',
    'duration': 5,
    'start': 14,
    'method': """
    """
} , {
    'title': 'Dissemination and Public Engagement',
    'start': 10,
    'duration': 13,
    'method': """
    """
}]

deliverables = [{
    'title': 'Framework specification',
    'month': 4,
    'wp': 1
}, {
    'title': 'Baseline prototype',
    'month': 8,
    'wp': 1
}, {
    'title': 'Annotated Dataset',
    'month': 12,
    'wp': 2,
}, {
    'title': 'Technical Report on Motor Variability',
    'month': 13,
    'wp': 2,
}, {
    'title': 'Updated prototype with integrated supervised ML and explainability mechanisms',
    'month': 15,
    'wp': 3,

}, {
    'title': 'Design and evaluation framework for inclusive, interpretable ML in movement systems',
    'month': 18,
    'wp': 3,
}]

milestones = [{
    'title': 'Baseline Gesture Model and Bias Evaluation Metrics Defined',
    'month': 8,
    'wp': 1,
}, {
    'title': 'Completion of User Studies and Initial Statistical Variability Models',
    'month': 12,
    'wp': 2
}, {
    'title': 'Completion of Transparent Model Integration and Ethical Evaluation Setup',
    'month': 13, 
    'wp': 3
}]