SoM: A Smart Sensor for Human Activity Monitoring and Assisted Healthy Ageing

Abstract

This paper presents the hardware and software design and implementation of a low-cost, wearable, and unobstructive intelligent accelerometer sensor for the monitoring of human physical activities. In order to promote healthy lifestyles to elders for an active, independent, and healthy ageing, as well as for the early detection of psychomotor abnormalities, the activity monitoring is performed in a holistic manner in the same device through different approaches: 1) a classification of the level of activity that allows to establish patterns of behavior; 2) a daily activity living classifier that is able to distinguish activities such as climbing or descending stairs using a simple method to decouple the gravitational acceleration components of the motion components; and 3) an estimation of metabolic expenditure independent of the activity performed and the anthropometric characteristics of the user. Experimental results have demonstrated the feasibility of the prototype and the proposed algorithms.

Lessons learned from the development of an affordable fall detection system for mHealth

“…Thus, the results obtained meet the up-front design requirements defined in Section 3.A. A deeper analysis of the communication protocol falls out from the scope of this paper [31] . feasibility of the FDS and the PSE with current and low-cost technologies, for a critical operation like fall detection.…”

Activity tracking and monitoring of patients with alzheimer’s disease

“…In [28], smart sensors were employed for monitoring human behavior and providing health information to help elderly to develop an active and independent living and for early detection of psychomotor abnormalities. In the system, wearable motion sensors were employed to capture the movement activities of elderly for classifying their activity levels and distinguishing different types of living activities such as climbing or descending stairs.…”

SmartMind: Activity Tracking and Monitoring for Patients with Alzheimer's Disease

“…In [14], smart sensors are employed for monitoring human behavior and providing health information to help elderly to develop an active and independent living and for early detection of psychomotor abnormalities. In [23], a smartphone-based application, called ADcope is introduced for integrating services such as the memory wallet, calendaring, Near Field Communication (NFC) enclosure content tagging and dementia exercises for patients with AD.…”