Infant Monitoring System using Activity Recognition

Goto, Jun; Kidokoro, Takuya; Ogura, Tomohiro; Suzuki, Satoshi

doi:10.1541/ieejias.134.332

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…In author's previous study [4], it was shown that six types of child activities (sleeping, walking, running, hand motion, playing, and sitting) could be classified adequately using a two-step classification by combining several types of classifiers. Through the experiment and studies, a three-axis acceleration logger MSR145 (MSR Electronics Co., Switzerland.…”

Section: Ar In Kgr and Sensor Devicementioning

confidence: 99%

See 1 more Smart Citation

Verification of Sleep/Wake Detection Algorithms for Kindergarten Support System Based on Activity Recognition

Hikosaka

Kurashima

Suzuki

2015

SICE Journal of Control, Measurement, and System Integration

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: Practical application of a human monitoring system draws increasing attention with the high developments of information & communication technology and robot technology. Utilizing these technologies, a kindergarten support system for children, parents, and childminders using the activity recognition (AR) has been studied in author's previous studies. In this paper, several wake/sleep identification algorithms for infants as an additional AR were verified by using orthodox algorithms that were used for adults. Investigating combinations of sensor position to infant's body (arm or leg), sampling frequency (5 Hz to 50 Hz), threshold for acceleration detection (0.1 m/s 2 to 0.9 m/s 2 ), and types of wake/sleep detection algorithms (count-scaled, Cole, Sadeh, and zero-threshold algorithms), it was confirmed that the count-scaled algorithm could obtain highest identification accuracy as high as 89.0% under adequate measurement condition.

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Section: Ar In Kgr and Sensor Devicementioning

confidence: 99%

“…With above-mentioned background, a concept of KinderGuaRdian (KGR) was proposed in author's previous study [3], [4]. In the KGR system, activity recognition (AR) technique is used to estimate status of child's activities to check his/her health and growth.…”

Section: Introductionmentioning

confidence: 99%