An Unobstructive Sensing Method for Indoor Air Quality Optimization and Metabolic Assessment Within Vehicles

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2020 Dec 19

PMID 33339222

Citations 1

Authors

Yue Deng

Mark Sprowls

S Jimena Mora

Doina Kulick

Nongjian Tao

Hugo Destaillats

Erica Forzani

Affiliations

Soon will be listed here.

Abstract

This work investigates the use of an intelligent and unobstructive sensing technique for maintaining vehicle cabin's indoor air quality while simultaneously assessing the driver metabolic rate. CO accumulation patterns are of great interest because CO can have negative cognitive effects at higher concentrations and also since CO accumulation rate can potentially be used to determine a person's metabolic rate. The management of the vehicle's ventilation system was controlled by periodically alternating the air recirculation mode within the cabin, which was actuated based on the CO levels inside the vehicle's cabin. The CO accumulation periods were used to assess the driver's metabolic rate, using a model that considered the vehicle's air exchange rate. In the process of the method optimization, it was found that the vehicle's air exchange rate (λ [h]) depends on the vehicle speeds, following the relationship: λ = 0.060 × (speed) - 0.88 when driving faster than 17 MPH. An accuracy level of 95% was found between the new method to assess the driver's metabolic rate (1620 ± 140 kcal/day) and the reference method of indirect calorimetry (1550 ± 150 kcal/day) for a total of N = 16 metabolic assessments at various vehicle speeds. The new sensing method represents a novel approach for unobstructive assessment of driver metabolic rate while maintaining indoor air quality within the vehicle cabin.

Citing Articles

Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline.

Serhan P, Victor S, Osorio Perez O, Abi Karam K, Elghoul A, Ransdell M Sensors (Basel). 2025; 24(24.

PMID: 39771798 PMC: 11679439. DOI: 10.3390/s24248062.

A Smart System for the Contactless Measurement of Energy Expenditure.

Sprowls M, Victor S, Mora S, Osorio O, Pyznar G, Destaillats H Sensors (Basel). 2022; 22(4).

PMID: 35214262 PMC: 8963031. DOI: 10.3390/s22041355.

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