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Massachusetts Institute of Technology

A smart diaper wetness detection sensor : concept, design and ethical considerations

Abstract

dc:description.abstract

Human waste contained in diapers is a rich source of medical health based data. Embedding low-cost, wearable sensors in disposable diapers provides an opportunity for self-health monitoring and advancing preventative medicine. Diaper users include infants, elderly, disabled individuals, and hospital patients. Diaper wetness-based alerting can enhance care of this population by improving incontinence management, preventing rashes and infections, and avoiding embarrassment. A practical implementation of this consumer-oriented system will directly impact the user, their habits, ecosystem around the user, enhance access to health based information and disrupt the existing business models. Integrating ethical dimensions of privacy, safety, security, sustainability and socio-economic implications is essential to responsible technology development.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering Systems Division
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sen, Pankhuri.
Advisor dc:contributor.advisor
  • Sanjay E. Sarma.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/145236
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/145236

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sen, Pankhuri.. A smart diaper wetness detection sensor : concept, design and ethical considerations. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/145236