Abstract

Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring and data analysis using various algorithmic techniques have been subjects of intense research. The general aim is to devise effective means of addressing the demands of assisted living, rehabilitation, and clinical observation and assessment through sensor-based monitoring. The research studies have resulted in a large amount of literature. This paper presents a holistic articulation of the research studies and offers comprehensive insights along four main axes: distribution of existing studies; monitoring device framework and sensor types; data collection, processing and analysis; and applications, limitations and challenges. The aim is to present a systematic and most complete study of literature in the area in order to identify research gaps and prioritize future research directions.

Highlights

  • The proportion of the population requiring healthcare services and assisted living is increasing due to population aging resulting from higher life expectancy [1]

  • This paper presents a holistic articulation of the research studies and offers comprehensive insights along four main axes: distribution of existing studies; monitoring device framework and sensor types; data collection, processing and analysis; and applications, limitations and challenges

  • This paper presents a holistic articulation of literature on sensor-based monitoring of mobility and activities of daily living and offers comprehensive insights along four main axes: applications, monitoring device framework and sensor types; distribution of existing studies with respect to applications and sensor types; data collection, processing and analysis; and research gaps, limitations and challenges

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Summary

Introduction

The proportion of the population requiring healthcare services and assisted living is increasing due to population aging resulting from higher life expectancy [1]. The PSMS, which is only marginally different from IndexADL, was complemented by the Instrumental Activities of Daily Living (InstrumentalADL) proposed in [7] These have evolved into standard sets of activities used by medical professionals and healthcare service providers to assess well-being and the need for assisted living and rehabilitation [8]. This paper presents a holistic articulation of literature on sensor-based monitoring of mobility and activities of daily living and offers comprehensive insights along four main axes: applications, monitoring device framework and sensor types; distribution of existing studies with respect to applications and sensor types; data collection, processing and analysis; and research gaps, limitations and challenges. The rest of the paper is organized as follows: Section 2 details monitoring device platform and sensor types; Section 3 presents the distribution of existing studies with respect to different applications and sensor types; Section 4 addresses sensor placement and data collection; Section 5 addresses data processing for feature extraction and selection; Section 6 details the various application areas; Section 7 highlights research gaps and possible future research directions; Section 8 articulates the challenges and ethical issues; and Section 9 concludes the paper

Monitoring Device Platform and Sensor Types
Distribution of Existing Studies
Sensor Placement
Data Collection
Data Processing for Feature Extraction and Selection
Processing Location
Data Segmentation
Feature Extraction
Threshold-based algorithm
Feature Selection
Applications
Fall Detection
Gait Assessment
Fall Risk Estimation
ADL Classification
Energy Expenditure Estimation
Research Gaps and Possible Future Research Directions
Trial Scenarios
General Lack of Confidence
Distinguishing between Fall and ADL Events
Ethical Issues
Findings
Conclusions
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