Embedded System for Fall Detection in Activities of Daily Living ADLs: A Time Window Analysis

2021 ◽  
pp. 228-238
Author(s):  
Solange Bustos ◽  
María José Flores ◽  
David Pozo-Espín ◽  
Santiago Solórzano
Keyword(s):  
Embedded System ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Time Window ◽  
Fall Detection ◽  
Window Analysis

scholarly journals IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5948
Author(s):  
Taekjin Han ◽  
Wonho Kang ◽  
Gyunghyun Choi
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Privacy Preservation ◽  
Detection System ◽  
Fall Detection ◽  
The Elderly ◽  
Ultra Wideband ◽  
Detection Accuracy ◽  
Secondary Damage ◽  
Behavior Types

Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary damage from falls can lead to death. As such, fall detection is a crucial topic. However, due to the trade-off relationship between privacy preservation, user convenience, and fall detection performance, it is generally difficult to develop a fall detection system that simultaneously satisfies all conditions. The main goal of this study is to build a practical fall detection framework that can effectively classify the various behavior types into “Fall” and “Activities of daily living (ADL)” while securing privacy preservation and user convenience. For this purpose, signal data containing the motion information of objects was collected using a non-contact, unobtrusive, and non-restraint impulse-radio ultra wideband (IR-UWB) radar. These data were then applied to a convolutional neural network (CNN) algorithm to create an object behavior type classifier that can classify the behavior types of objects into “Fall” and “ADL.” The data were collected by actually performing various activities of daily living, including falling. The performance of the classifier yielded satisfactory results. By combining an IR-UWB and CNN algorithm, this study demonstrates the feasibility of building a practical fall detection system that exceeds a certain level of detection accuracy while also ensuring privacy preservation and user convenience.

Effective Falls Detection Method Using Two Tri-Axial Accelerometers

2013 ◽  
Vol 647 ◽  
pp. 854-860
Author(s):  
Gye Rok Jeon ◽  
Young Jae Kim ◽  
Ah Young Jeon ◽  
Sang Hoon Lee ◽  
Jae Hyung Kim ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Detection Rate ◽  
Elderly Population ◽  
Detection Method ◽  
Detection System ◽  
Fall Detection ◽  
The Elderly ◽  
Detection Systems

Falls detection systems have been developed in recent years because falls are detrimental events that can have a devastating effect on health of the elderly population. Current fall detecting methods mainly employ accelerometer to discriminate falls from activities of daily living (ADL). However, this makes it difficult to distinguish real falls from certain fall-like activities such as jogging and jumping. In this paper, an accurate fall detection system was implemented using two tri-axial accelerometers. By attaching the accelerometers on the chest and the abdomen, our system can effectively differentiate between falls and non-fall events.The Diff_Z and Sum_diff_Z parameter resulted in falls detection rate of 100%, respectively.

Power-Efficient Interrupt-Driven Algorithms for Fall Detection and Classification of Activities of Daily Living

2015 ◽  
Vol 15 (3) ◽  
pp. 1377-1387 ◽  
Author(s):  
Jian Yuan ◽  
Kok Kiong Tan ◽  
Tong Heng Lee ◽  
Gerald Choon Huat Koh
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Fall Detection ◽  
Power Efficient

scholarly journals Trunk Angular Kinematics During Slip-Induced Backward Falls and Activities of Daily Living

2014 ◽  
Vol 136 (10) ◽  
Author(s):  
Jian Liu ◽  
Thurmon E. Lockhart
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Phase Plane ◽  
Fall Detection ◽  
Detection Algorithm ◽  
Simultaneous Occurrence ◽  
Optical Motion ◽  
Motion Features ◽  
Analysis System ◽  
Trunk Extension

Prior to developing any specific fall detection algorithm, it is critical to distinguish the unique motion features associated with fall accidents. The current study aimed to investigate the upper trunk angular kinematics during slip-induced backward falls and activities of daily living (ADLs). Ten healthy older adults (age = 75 ± 6 yr (mean ± SD)) were involved in a laboratory study. Sagittal trunk angular kinematics were measured using optical motion analysis system during normal walking, slip-induced backward falls, lying down, bending over, and various types of sitting down (SN). Trunk angular phase-plane plots were generated to reveal the motion features of falls. It was found that backward falls were characterized by a simultaneous occurrence of a slight trunk extension and an extremely high trunk extension velocity (peak average = 139.7 deg/s), as compared to ADLs (peak average = 84.1 deg/s). It was concluded that the trunk extension angular kinematics of falls were clearly distinguishable from those of ADLs from the perspective of angular phase-plane plot. Such motion features can be utilized in future studies to develop a new prior-to-impact fall detection algorithm.

scholarly journals Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5774
Author(s):  
Chih-Lung Lin ◽  
Wen-Ching Chiu ◽  
Ting-Ching Chu ◽  
Yuan-Hao Ho ◽  
Fu-Hsing Chen ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Inertial Sensors ◽  
Daily Life ◽  
Detection System ◽  
Fall Detection ◽  
Experimental Results ◽  
Triaxial Accelerometer ◽  
Timely Manner

This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer’s head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick’s filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contact in a timely manner to provide help for the falling person. Based on experimental results concerning falling movements and activities of daily living, the proposed system achieved a sensitivity of 96.67% in fall detection, with a specificity of 98.27%, and, therefore, is suitable for detecting falling movements in daily life.

The disability process: is there a place for frailty?

2020 ◽  
Vol 49 (5) ◽  
pp. 764-770
Author(s):  
Alfonso Zamudio-Rodríguez ◽  
Luc Letenneur ◽  
Catherine Féart ◽  
José Alberto Avila-Funes ◽  
Hélène Amieva ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Time Window ◽  
Intermediate Stage ◽  
Frailty Phenotype ◽  
Risk Of Death ◽  
Disablement Process ◽  
Cox's Regression ◽  
Adl Disability ◽  
The Continuum

Abstract Background frailty and disability are very common in older adults; they share some risk factors and pathophysiological mechanisms. Yet, they are different clinical entities. Objectives this study aimed to explore a potential hierarchical relationship between frailty and disability along the continuum of the disablement process. Design prospective cohort study. Setting the French Three-City (3C) study. Subjects the sample included 943 participants aged 75 and older. Methods the Fried frailty phenotype, Instrumental Activities of Daily Living (IADL) and basic Activities of Daily Living (ADL) were used. We distinguished between four mutually excluding groups: (i) robust (no frailty and no disability); (ii) pure frailty (no disability); (iii) frailty with IADL disability (no ADL disability) and (iv) frailty with IADL and ADL disabilities. We used Cox’s regression models to study the 4-year mortality risk associated with each status. Results Eight-two per cent of participants were classified according to the assumed hierarchy: 61.3% was robust, 5.4% frail, 10.5% frail and IADL-disabled and 4.8% frail, IADL and ADL-disabled. An extra group of 17% was identified with IADL-disabled individuals without frailty. This extra group was similar to pure frailty in terms of characteristics and risk of death, placing them along the continuum at an intermediate stage between robustness and the two most disabled sub-groups. Conclusions our findings suggest that including frailty along the continuum could be relevant to describe the whole disablement process. Frailty would occur upstream of the process and might be relevant to identify an opportune time window, where specific monitoring and clinical interventions could be implemented in order to interrupt the process at a potentially more reversible stage.

Chewing activity and activities of daily living in the elderly

1997 ◽  
Vol 24 (6) ◽  
pp. 457-460 ◽  
Author(s):  
H. MIURA ◽  
Y. ARAKI ◽  
T. UMENAI
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
The Elderly ◽  
Chewing Activity
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