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

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.

2013 ◽  
Vol 647 ◽  
pp. 854-860
Author(s):  
Gye Rok Jeon ◽  
Young Jae Kim ◽  
Ah Young Jeon ◽  
Sang Hoon Lee ◽  
Jae Hyung Kim ◽  
...  

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.


2020 ◽  
Vol 17 (8) ◽  
pp. 3520-3525
Author(s):  
J. Refonaa ◽  
Bandaru Suhas ◽  
B. V. S. Bhaskar ◽  
S. L. JanyShabu ◽  
S. Dhamodaran ◽  
...  

It is a must to bring the fall detection system in to use with the increasing number of elder people in the world, because the most of them tend live voluntarily and at risk of injuries. Falls are dangerous in a few cases and could even lead to deadly injuries. A very robust fall detection system must be built in order to counter this problem. Here, we establish fall detection and recognition of daily live behavior through machine learning system. In order to detect different types of activities, including the detection of falls and day to-day activities, We use 2 shared archives for the accelerating and lateral speed data during this development. Logistic regression is used to determine motions such as drop, walk, climb, sit, stand and lie bases on the accelerating data and data on angular velocities. More specifically, the triaxial acceleration average value is used to achieve fall detection accuracy.


Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5774
Author(s):  
Chih-Lung Lin ◽  
Wen-Ching Chiu ◽  
Ting-Ching Chu ◽  
Yuan-Hao Ho ◽  
Fu-Hsing Chen ◽  
...  

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.


2014 ◽  
Vol 27 (5) ◽  
pp. 392-398 ◽  
Author(s):  
Andréa Mathes Faustino ◽  
Lenora Gandolfi ◽  
Leides Barroso de Azevedo Moura

Objective To verify whether there is a connection between the functional capacity of the elderly and the presence of violent situations in their daily lives. Methods A population-based cross-sectional study developed with 237 elderly individuals. Standard and validated research instruments were used. Results Mean age of 70.25 years (standard deviation of 6.94), 69% were female, 76% were independent in basic activities of daily living and 54% had a partial dependence on at least one instrumental activity. The most prevalent violence was psychological and the relation between being dependent on basic activities of daily living and suffering physical violence was statistically significant. Conclusion When the elderly needs assistance to perform self-care activities, there is a greater chance of exposure to a situation of abuse, such as physical violence.


2018 ◽  
Vol 12 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Ana Iza Gomes da Penha Sobral ◽  
Cláudia Marina Tavares de Araújo ◽  
Marcos Felipe Falcão Sobral

Abstract Mild Cognitive Impairment is characterized as an intermediate form between age-related change and dementia. For the elderly, autonomy and independence are related to the ability to remain active in conducting their social activities and, for this to occur, communication is fundamental in this process. Objective: To assess the association between communication and the abilities of elderly people with mild cognitive impairment to perform instrumental activities of daily living. Methods: A cross-sectional, quantitative, analytical, correlational study was conducted at the Open University of the Third Age (UnATI), a program of the Federal University of Pernambuco. This study included 92 people, comprising 46 elderly with mild cognitive impairment and a caregiver or family member who met the inclusion criteria. The elderly were asked to complete a sociodemographic questionnaire and Lawton-Brody’s Instrumental Activities of Daily Living Scale. The caregivers were asked to complete the Functional Assessment of Communication Skills. The following variables were studied: social communication skills and instrumental activities of daily living. Data were stored in an Excel® 2007 spreadsheet, and the Pearson correlation test was used for the statistical analysis. Results: There were statistically significant correlations in four domains of social communication: referring to family members by name (p=0.0033); requesting information about people or events (p=0.0355); understanding conversations in a noisy environment (p=0.0448); and understanding what they watch on television or listen to on the radio (p=0.0127). Conclusion: Changes in the communication of elderly people with mild cognitive impairment interfere with their ability to perform instrumental activities autonomously and independently.


2014 ◽  
Vol 51 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Denis PAJECKI ◽  
Marco Aurélio SANTO ◽  
Ana Lumi KANAGI ◽  
Daniel RICCIOPPO ◽  
Roberto de CLEVA ◽  
...  

Context Obesity in the elderly is associated with exacerbation of functional decline (dependency), that occurs with aging, because of decreased muscle mass and strength, and increased joint dysfunction. Consequently, there is progressive loss of independence, autonomy, chronic pain and impaired quality of life. The weight loss can bring benefits in all these aspects, especially when accompanied by exercises. Elderly patients with morbid obesity may be submitted to surgical treatment, taking into account that the massive weight loss, eventually caused by bariatric surgery, may exacerbate the loss of muscle mass and nutritional complications that may bring harm to the overall health and quality of life of these patients. The functional assessment of elderly patients, candidates for bariatric surgery and the extent to which surgery can bring benefits to the patients, in the field of functionality, has still to be determined. Objective To describe profile functionality in obese elderly referred to a bariatric surgery program. Methods Patients with age ≥60 and BMI ≥35 underwent comprehensive geriatric assessment that evaluates co morbidities, medication use, ability to perform basic activities of daily living and instrumental activities of daily living, and the “Timedupandgo” test to evaluate mobility, whose cut-off point was ≤10 seconds. Statistical analysis was performed in order to see if there is a positive correlation of dependency with BMI and age (over or under 65 years). Results Forty subjects have completed evaluation. The mean age was 64.1 years (60-72) and 75% were women. They had an average weight of 121.1 kg (72.7-204) and a mean BMI of 47.2 kg/m2 (35.8-68.9). 16 patients (40%) have shown dependency for activities of daily living, 19 (47,5%) for instrumental activities of daily living and 20 patients (50%) had a “Timedupandgo” test over 10 seconds. Statistical analysis (t-Student, Mann-Whitney, Binary Logistic Regression) has shown positive correlation of dependency in activities of daily living for BMI >49 kg/m2, dependency in instrumental activities of daily living for BMI >46,5 kg/m2, and “Timedupandgo” test greater than 10 seconds for BMI >51 kg/m2 (P<0,05). No dependency difference was observed for patients over or under 65 years age. Conclusions Functional decline is observed in almost half of the morbid obese patients over 60 years old. It is related to increasing BMI (BMI >46,5 kg/m2) but not related to age (60 to 65 years or over 65 years). Functional decline should be considered a co-morbidity in the elderly obese patients and should be assessed before bariatric surgery in this population.


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