The Challenges of Connecting Smart Home Health Sensors to Cloud Analytics

There is great potential to assess the well-being of older adults in their homes, using sensors. The data derived from these sensors can be used to create solutions that can improve the lives of the users and their family by providing knowledge of health and enable independence. The system architecture commonly proposed is based on sensors deployed in the residence to collect ambient information or information through interactive use. These sensors are then connected through the Internet to cloud services for archiving and processing that is typically based on data analytics and artificial intelligence. This paper specifically focuses on modeling these flows and presents the challenges associated with the demands they place on Internet connectivity services. The paper presents an architecture for the resulting implementation models required for these solutions to be able to be scaled in communities.

[1]  Wilhelm Stork,et al.  Personalization of monitoring system parameters to support ambulatory care for dementia patients , 2018, 2018 IEEE Sensors Applications Symposium (SAS).

[2]  Subhas Chandra Mukhopadhyay,et al.  Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.

[3]  Rafik A. Goubran,et al.  Operating system performance measurements for Remote Patient Monitoring applications , 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[4]  Frank Knoefel,et al.  IR night vision video-based estimation of heart and respiration rates , 2017, 2017 IEEE Sensors Applications Symposium (SAS).

[5]  Nandini Mukherjee,et al.  On uncertainty determination in eHealth sensors , 2017, 2017 IEEE Sensors Applications Symposium (SAS).

[6]  Arun Cyril Jose,et al.  Improving Smart Home Security: Integrating Logical Sensing Into Smart Home , 2017, IEEE Sensors Journal.

[7]  Eros Pasero,et al.  VITAL-ECG: A portable wearable hospital , 2018, 2018 IEEE Sensors Applications Symposium (SAS).

[8]  Mahadev Satyanarayanan,et al.  The Emergence of Edge Computing , 2017, Computer.

[9]  Rafik A. Goubran,et al.  Privacy versus autonomy: A tradeoff model for smart home monitoring technologies , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  S. C. Mukhopadhyay,et al.  Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly , 2012, IEEE Sensors Journal.

[11]  Mihail Popescu,et al.  Estimating walking speed, stride length, and stride time using a passive floor based electronic scavenging system , 2017, 2017 IEEE Sensors Applications Symposium (SAS).

[12]  Lawrence K. Lam,et al.  Wearable emotion sensor on flexible substrate for mobile health applications , 2018, 2018 IEEE Sensors Applications Symposium (SAS).

[13]  Haris Gacanin,et al.  On Delay-Sensitive Healthcare Data Analytics at the Network Edge Based on Deep Learning , 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

[14]  Frank Knoefel,et al.  Smart monitoring of fluid intake and bladder voiding using pressure sensitive mats , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[15]  Ricardo A. S. Fernandes,et al.  An Open-Source Framework for Smart Meters: Data Communication and Security Traffic Analysis , 2019, IEEE Transactions on Industrial Electronics.

[16]  Andrei Gurtov,et al.  Lightweight and Secure Session-Key Establishment Scheme in Smart Home Environments , 2016, IEEE Sensors Journal.

[17]  Bruce Wallace,et al.  Preliminary results for measurement and classification of overnight wandering by dementia patient using multi-sensors , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[18]  Rafik A. Goubran,et al.  Cognition assessment: A framework for episodic measurement , 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[19]  Jie Liu,et al.  Wellness Sensor Networks: A Proposal and Implementation for Smart Home for Assisted Living , 2015, IEEE Sensors Journal.