Measuring Cognitive Status from Speech in a Smart Home Environment
Autor: | Kathleen C. Fraser, Majid Komeili |
---|---|
Rok vydání: | 2021 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Artificial Intelligence Computer science Applied psychology Population Computer Science - Computers and Society Home automation Computers and Society (cs.CY) virtual assistants Cognitive status transforms Electrical and Electronic Engineering signal processing education social factors Instrumentation Focus (computing) education.field_of_study Computer Science - Computation and Language biomedical measurement business.industry aging Artificial Intelligence (cs.AI) smart homes Work (electrical) home automation Key (cryptography) The Internet Cognitive Assessment System business Computation and Language (cs.CL) |
Zdroj: | IEEE Instrumentation & Measurement Magazine. 24:13-21 |
ISSN: | 1941-0123 1094-6969 |
Popis: | The population is aging, and becoming more tech-savvy. The United Nations predicts that by 2050, one in six people in the world will be over age 65 (up from one in 11 in 2019), and this increases to one in four in Europe and Northern America. Meanwhile, the proportion of American adults over 65 who own a smartphone has risen 24 percentage points from 2013-2017, and the majority have Internet in their homes. Smart devices and smart home technology have profound potential to transform how people age, their ability to live independently in later years, and their interactions with their circle of care. Cognitive health is a key component to independence and well-being in old age, and smart homes present many opportunities to measure cognitive status in a continuous, unobtrusive manner. In this article, we focus on speech as a measurement instrument for cognitive health. Existing methods of cognitive assessment suffer from a number of limitations that could be addressed through smart home speech sensing technologies. We begin with a brief tutorial on measuring cognitive status from speech, including some pointers to useful open-source software toolboxes for the interested reader. We then present an overview of the preliminary results from pilot studies on active and passive smart home speech sensing for the measurement of cognitive health, and conclude with some recommendations and challenge statements for the next wave of work in this area, to help overcome both technical and ethical barriers to success. |
Databáze: | OpenAIRE |
Externí odkaz: |