Senior Data Scientist, MassMutual
Lecturer, UC Berkeley MIDS
--
PhD Applied Math, Computational Story Lab, UVM
MS Applied Math, UVM
BS Math, Virginia Tech
Public
Edited
Jan 16
function getActivityDistribution(profile) {
const distributions = {
Inactive: {
sedentary: 0.90,
light: 0.10,
moderate: 0.00,
vigorous: 0.00
},
"Sporadic low intensity": {
sedentary: 0.70,
light: 0.25,
moderate: 0.05,
vigorous: 0.00
},
"Sporadic low/mod": {
sedentary: 0.60,
light: 0.25,
moderate: 0.13,
vigorous: 0.02
},
"Sporadic mod/high": {
sedentary: 0.50,
light: 0.20,
moderate: 0.20,
vigorous: 0.10
},
"Semi-structured mod": {
sedentary: 0.55,
light: 0.25,
moderate: 0.18,
vigorous: 0.02
},
"Semi-structured high": {
sedentary: 0.45,
light: 0.20,
moderate: 0.25,
vigorous: 0.10
}
};
return distributions[profile] || distributions.inactive;
}
function generateStructuredPeriods(profile) {
const periods = [];
const isHighIntensity = profile === "Semi-structured high";
const activeDaysPerWeek = isHighIntensity ? 5 : 3;
const sessionsPerDay = isHighIntensity ? 2 : 1;
// Generate active days
const activeDays = new Set();
while (activeDays.size < activeDaysPerWeek) {
activeDays.add(Math.floor(Math.random() * DAYS_PER_WEEK));
}
// For each active day, generate session times
for (const day of activeDays) {
for (let i = 0; i < sessionsPerDay; i++) {
// Assuming active periods are between 7AM and 9PM (minutes 7*60-1260)
const startMinute = Math.floor(random(7*60, 1260));
const duration = Math.floor(random(30, 60)); // 30-60 minute sessions
periods.push({
day,
startMinute,
duration,
intensity: isHighIntensity ? 'vigorous' : 'moderate'
});
}
}
return periods;
}
metValues = new Array(TOTAL_MINUTES);
distribution = getActivityDistribution(profile);
isStructured = profile.includes('structured');
structuredPeriods = isStructured ? generateStructuredPeriods(profile) : [];
function generateWeeklyMETs(profile = 'inactive') {
// Generate base activity levels
for (let minute = 0; minute < TOTAL_MINUTES; minute++) {
const currentDay = Math.floor(minute / MINUTES_PER_DAY);
const dayMinute = minute % MINUTES_PER_DAY;
// Check if this minute falls within a structured period
const structuredPeriod = structuredPeriods.find(period =>
period.day === currentDay &&
dayMinute >= period.startMinute &&
dayMinute < (period.startMinute + period.duration)
);
if (structuredPeriod) {
// Generate MET value for structured activity
const range = MET_RANGES[structuredPeriod.intensity];
metValues[minute] = random(range.min, range.max);
} else {
metValues[minute] = random(1.0, 1.2);
}
}
// Add time-based patterns
const sleepHours = [0, 1, 2, 3, 4, 5, 6]; // midnight to 5am
for (let day = 0; day < DAYS_PER_WEEK; day++) {
for (let hour of sleepHours) {
const startMinute = day * MINUTES_PER_DAY + hour * 60;
for (let i = 0; i < 60; i++) {
metValues[startMinute + i] = random(0.9, 1.1); // Sleep METs
}
}
}
return metValues;
}
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