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Related Experiment Video

Updated: Jul 12, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Assessment of memory recognition using a smartphone-based test system: A pilot study.

Yukari Saito¹, Kazuki Kitamura², Akane Yokoyama³

¹Graduate School of Pharma-Medical Sciences, University of Toyama, Gofuku, Toyama, Toyama, Japan.

|October 31, 2023

Summary

A new smartphone memory test effectively detects age-related memory decline. Aerobic exercise boosted memory in younger adults but not older adults, showing potential for large-scale memory studies.

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Last Updated: Jul 12, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

A Real-world What-Where-When Memory Test

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Area of Science:

Cognitive psychology
Gerontology
Mobile health technology

Background:

Age-related memory decline necessitates large-scale population studies.
A novel smartphone-based self-test for memory recognition was developed to facilitate such research.
The study aimed to validate this test for detecting age-related memory changes and the impact of aerobic exercise.

Purpose of the Study:

To assess the efficacy of a smartphone-based memory recognition test in identifying age-related memory decline.
To investigate the effects of acute aerobic exercise on memory performance in younger and older adults.
To determine if participant affect influences memory test results.

Main Methods:

A smartphone-based memory recognition test was administered to 78 younger and 42 older adults over two sessions.
Participants were randomized into active (aerobic exercise) and passive (rest) groups.
Memory recognition scores and affect levels were recorded before and after cognitive tasks and exercise/rest periods.

Main Results:

Older adults exhibited significantly lower recognition scores (~40-50%) compared to younger adults in the passive group.
Aerobic exercise enhanced recognition scores by up to ~40% in younger adults but showed no significant effect in older adults.
Participant affect levels did not influence memory recognition scores.

Conclusions:

The smartphone-based test reliably detects age-related memory decline, comparable to laboratory tests.
Aerobic exercise may enhance memory in younger individuals, suggesting potential for targeted interventions.
The test's independence from affect levels supports its utility for large-scale mobile health applications and memory research.