Evolution of Activities of Daily Living using Inertia Measurements: The Lunch and Dinner Activities
Abstract
In the context of designing eHealth services for fragile people, we propose to monitor Activities of Daily Living (ADL) in order to anticipate the potential loss of autonomy by behaviour changes. Nowadays, the availability of non-stigmatising sensors such as inertial sensors embedded on Smartphones allows the estimation of people’s postures in real time in order to evaluate their autonomy in daily life. Our aim is to propose an unconstrained and non-intrusive method based on inertial sensors, which gives an indicator about a person’s autonomy. This method determines the correlation between people’s postures and activities over time in order to compute an index of ADL (IndexADL), specific to each person. The IndexADL variation over time is then a useful feature for positively or negatively evaluating people’s autonomy. Our experiment, based on data collection of eight elderly people over a 3-month period, analyses the Lunch and Dinner activities with promising performances.
Downloads
References
Noury N, Perriot B, Collet J et al. ActimedARM – Design of a wearable system to monitor daily actimetry. 35th Annual International Conference of the IEEE EMBS, Osaka, 3-7 July, 2013.
Najafi B, Aminian K, Paraschiv-Ionescu A, et al. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly. IEEE Trans Biomed Engin 2003;50(6):711-723.
Delgado-Gonzalo R, Celka P, Renevey Ph et al. Physical activity profiling: activity-specific step counting and energy expenditure models using 3D wrist acceleration. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Milan, Italy. August 25-29, 2015.
Chen S, Lach J, Lo B , Yang GZ, Toward pervasive gait analysis with wearable sensors: a systematic review. IEEE J Biomed Health Inform 2016;20(6):1521-1537.
Ohiwa T, Yamamoto H, Yamazaki K. Sensor system to advice health-aware information for elderly people on daily living activities. International Workshop on Sensor, Peer-to-peer and Social Networks, ICNC Workshop, Kauai, USA, February 15-18, 2016.
Pal S, Feng T, Abhayaratne C. Real-time recognition of activity levels for ambient assisted living. IEEE 5th International Conference on Consumer Electronics (ICCE). Berlin, Germany. September 6-9, 2015.
Noury N, Berenguer M, Teyssier H, et al. Building a spatial-temporal index to detect the global pattern deviations in daily activities of elderly subjects. IEEE Trans Inform Technol Biomeded 2011;15(5):758-766.
Sim JM, Lee Y, Kwon O. Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services. Int J Distrib Sensor Networks 2015;11(9):1-11.
Barralon P, Noury N, Vuillerme N. Walk detection with a kinematic sensor: frequency and wavelet comparison. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). New York City, USA. August 30-September 3, 2006.
Madgwick S, Harrison A, Vaidyanathan R. Estimation of IMU and MARG orientation using a gradient descent algorithm. IEEE International Conference on Rehabilitation Robotics (ICORR). June 2011.
Berenguer M, Bouzid M-J, Cibaud D, et al. Collecting inertial signals from smartphones for the IGS database. Gerontechnology. June 2014.
Barralon P, Vuillerme N, Noury N. Évaluation de l’activité de la personne en maintien à domicile–Classification des transferts posturaux à l’aide d’accéléromètres. ITBM-RBM 2006; 27(4):182–193.
Copyright (c) 2017 Marc Berenguer, Marie-Jeanne Bouzid, Aida Makni, Grégoire Lefebvre, Norbert Noury
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
