Win-Shield Combined Biometric and Chemical Sensor System
Notice bibliographique
Résumé
The Win-Shield combined biometric and chemical sensor system is a capstone and proof-of-concept project done by the Biosystems Engineering Students of the University of Manitoba over the course of 8 months. The project aims to enhance the safety of isolated industrial workers by providing simultaneous real-time monitoring of vital signs and exposure to hazardous chemicals to both the wearers and their supervisors. Currently, there are no commercially available products designed with these all of these functions for industrial purposes, as most are only intended for recreational or hospital purposes. The system comprises of three subsystems, including a comfort pad with biometric sensors, a chemical sensor unit, and an ESP32ESP32 Devkit microcontroller to process data from the sensors. It can integrate seamlessly into a universal headband to be worn under a welding mask. Key features include: • Having a light weight of 500 grams or under. • Broad applicability fitting 85% of the Canadian population. • Precise vital signs monitoring with temperature accuracy within 0.3°C and 2%. • Heart rate and blood oxygenation accuracy exceeding 97% and 98.85% respectively (Sari et al. 2021). • Alarming chemical exposure thresholds align with 15-minute short term exposure guidelines set by the Government of Manitoba. The design has been verified by various tests resembling CSA standard verification procedures as much as possible under the constraints of time, budget, and resources. For the temperature sensor, immersion in an ice water bath alongside a high-accuracy thermometer assessed accuracy and response time. The heart rate and blood oxygenation sensor has been benchmarked against a smartwatch due to its biometric accuracy. Humidity sensor testing involved controlled environments using salt mixtures to establish fixed relative humidity. Gas sensors have undergone calibration, followed by simple bump testing and limited time response tests, in which they were exposed to triggering gas concentrations within known environments to evaluate response times. The testing section of the report extends its focus to physical tests for the overall system. Environmental temperature, drop, and vibration tests were conducted to ascertain potential impacts on system operation. These tests collectively ensure a robust assessment of the sensor system's reliability and functionality in diverse conditions. Lastly, the limitations that were found to have impacted the design process have been summarized, along with suggestions for potential solutions to these limitations. Additionally, potential next steps for developing this project have been included should the project continue into further design iterations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,031 | 0,017 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».