Detection of activities by wireless sensors for daily life surveillance: eating and drinking.

Sensors
Sen ZhangChen Khong Tham

Abstract

This paper introduces a two-stage approach to the detection of people eating and/or drinking for the purposes of surveillance of daily life. With the sole use of wearable accelerometer sensor attached to somebody's (man or a woman) wrists, this two-stage approach consists of feature extraction followed by classification. At the first stage, based on the limb's three dimensional kinematics movement model and the Extended Kalman Filter (EKF), the realtime arm movement features described by Euler angles are extracted from the raw accelerometer measurement data. In the latter stage, the Hierarchical Temporal Memory (HTM) network is adopted to classify the extracted features of the eating/drinking activities based on the space and time varying property of the features, by making use of the powerful modelling capability of HTM network on dynamic signals which is varying with both space and time. The proposed approach is tested through the real eating and drinking activities using the three dimensional accelerometers. Experimental results show that the EKF and HTM based two-stage approach can perform the activity detection successfully with very high accuracy.

References

Sep 23, 2000·IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·R Williamson, B J Andrews
Jun 20, 2003·IEEE Transactions on Bio-medical Engineering·Bijan NajafiPhilippe Robert
Aug 27, 2005·IEEE Transactions on Bio-medical Engineering·Hooman DejnabadiKamiar Aminian
Nov 1, 2005·Medical & Biological Engineering & Computing·H ZhengN D Harris
Nov 23, 2005·Studies in Health Technology and Informatics·Alex Pentland
Sep 22, 2006·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jamie A WardThad E Starner

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Citations

Mar 27, 2018·Public Health Nutrition·Wenyan JiaMingui Sun
May 3, 2019·Advances in Nutrition·Hassan S DashtiMarta Garaulet
Aug 21, 2018·Journal of Healthcare Engineering·Antigoni Mezari, Ilias Maglogiannis
Jul 3, 2021·Nutrients·Rachel CohenAtena Roshan Fekr

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Methods Mentioned

BETA
feature extraction

Software Mentioned

spatial pooler
Alive Technologies Monitor
imote2

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