Chekka hisoblash texnologiyasi yordamida aqlli mehmonxonada real-vaqt kayfiyat aniqlash va IoT qurilmalarini avtomatik boshqarish tizimi: Smart mood
DOI:
https://doi.org/10.5281/zenodo.22192854Ключевые слова:
Chekka hisoblash, IoT, aqlli mehmonxona, affektiv hisoblash, HRV tahlili, GSR/EDA, kengaytirilgan Kalman filtri, deterministik mantiq.Аннотация
Mazkur tadqiqotda og‘ir chuqur o‘rgatish (Deep Learning) modellariga tayanmasdan, chekka hisoblash
(Edge Computing), moslashuvchan raqamli signallarni qayta ishlash hamda gisterezisli ko‘p parametrli qarorlar matritsasi
asosida ishlovchi “Smart mood” aqlli mehmonxona tizimi ishlab chiqilgan va sinovdan o‘tkazilgan. Tizim fotopletizmografiya
(PPG) va galvanik teri javobi (GSR/EDA) signallarini kengaytirilgan Kalman filtri (EKF) yordamida tozalab,
parasimpatik va simpatik nerv tizimi indikatorlarini (RMSSD, SDNN, pNN50, fazik Z-ball) chekka tugunda real-vaqt
rejimida ajratib oladi. Olingan natijalar WESAD xalqaro ochiq ma’lumotlar bazasi hamda 24 nafar ko‘ngilli ishtirokida
o‘tkazilgan laboratoriya-amaliy sinovlari orqali tekshirildi. Tizim 82.4% umumiy tasniflash aniqligini (F1-score: 0.81), 14.6
ms kechikish vaqtini va to‘liq GDPR mosligini ta’minladi.
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