scholarly journals GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Wen-Yu Cai ◽  
Jia-Hao Guo ◽  
Mei-Yan Zhang ◽  
Zhi-Xiang Ruan ◽  
Xue-Chen Zheng ◽  
...  
Keyword(s):  
Public Health Problem ◽  
Fall Detection ◽  
Detection Algorithm ◽  
Gradient Boosting ◽  
False Alarms ◽  
Detection Accuracy ◽  
Major Public Health Problem ◽  
Actual Application ◽  
Comprehensive Data ◽  
Surveillance Cameras

Since fall is happening with increasing frequency, it has been a major public health problem in an aging society. There are considerable demands to distinguish fall down events of seniors with the characteristics of accurate detection and real-time alarm. However, some daily activities are erroneously signaled as falls and there are too many false alarms in actual application. In order to resolve this problem, this paper designs and implements a comprehensive fall detection framework on the basis of inertial posture sensors and surveillance cameras. In the proposed system framework, data sources representing behavior characteristics to indicate potential fall are derived from wearable triaxial accelerometers and monitoring videos of surveillance cameras. Moreover, the NB-IoT based communication mode is adopted to transmit wearable sensory data to the Internet for subsequent analysis. Furthermore, a Gradient Boosting Decision Tree (GBDT) classifier-based fall detection algorithm (GBDT-FD in short) with comprehensive data fusion of posture sensor and human video skeleton is proposed to improve detection accuracy. Experimental results verify the good performance of the proposed GBDT-FD algorithm compared to six kinds of existing fall detection algorithms, including SVM-based fall detection, NN-based fall detection, etc. Finally, we implement the proposed integrated systems including wearable posture sensors and monitoring software on the Cloud Server.

scholarly journals Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1357
Author(s):  
Simon Scheurer ◽  
Janina Koch ◽  
Martin Kucera ◽  
Hȧkon Bryn ◽  
Marcel Bärtschi ◽  
...  
Keyword(s):  
Real Life ◽  
Fall Detection ◽  
Detection Algorithm ◽  
False Alarms ◽  
Second Phase ◽  
Two Phase ◽  
Motion Data ◽  
Technical Validation ◽  
Young Subjects ◽  
Risk Of Fall

Falls are the primary contributors of accidents in elderly people. An important factor of fall severity is the amount of time that people lie on the ground. To minimize consequences through a short reaction time, the motion sensor “AIDE-MOI” was developed. “AIDE-MOI” senses acceleration data and analyzes if an event is a fall. The threshold-based fall detection algorithm was developed using motion data of young subjects collected in a lab setup. The aim of this study was to improve and validate the existing fall detection algorithm. In the two-phase study, twenty subjects (age 86.25 ± 6.66 years) with a high risk of fall (Morse > 65 points) were recruited to record motion data in real-time using the AIDE-MOI sensor. The data collected in the first phase (59 days) was used to optimize the existing algorithm. The optimized second-generation algorithm was evaluated in a second phase (66 days). The data collected in the two phases, which recorded 31 real falls, was split-up into one-minute chunks for labelling as “fall” or “non-fall”. The sensitivity and specificity of the threshold-based algorithm improved significantly from 27.3% to 80.0% and 99.9957% (0.43) to 99.9978% (0.17 false alarms per week and subject), respectively.

Interactive Wormhole Detection and Evaluation

2007 ◽  
Vol 6 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Weichao Wang ◽  
Aidong Lu
Keyword(s):  
Wireless Networks ◽  
Large Scale ◽  
Network Performance ◽  
Visual Analysis ◽  
Detection Algorithm ◽  
False Alarms ◽  
Detection Accuracy ◽  
User Interactions ◽  
Wormhole Attacks ◽  
Reconstructed Network

Wormhole attacks in wireless networks can severely deteriorate network performance and compromise security through spoiling the routing protocols and weakening the security enhancements. This paper develops an approach, interactive visualization of wormholes (IVoW), to monitor and detect such attacks in large-scale wireless networks in real time. We characterize the topology features of a network under wormhole attacks through the node position changes and visualize the information at dynamically adjusted scales. We integrate an automatic detection algorithm with appropriate user interactions to handle complicated scenarios that include a large number of moving nodes and multiple wormhole attackers. Various visual forms have been adopted to assist in the understanding and analysis of reconstructed network topology and to improve the detection accuracy. Extended simulation has demonstrated that the proposed approach can effectively locate the fake neighbor connections without introducing many false alarms. IVoW does not require the wireless nodes to be equipped with any special hardware, thus avoiding any additional cost. We have performed user studies to evaluate the effectiveness of our approach and demonstrate that visual analysis can be successfully combined with network security mechanisms to greatly improve intrusion detection capabilities.

scholarly journals Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5361
Author(s):  
Maurizio Capra ◽  
Stefano Sapienza ◽  
Paolo Motto Ros ◽  
Alessio Serrani ◽  
Maurizio Martina ◽  
...  
Keyword(s):  
Emergency Response ◽  
Detection System ◽  
Tracking System ◽  
Fall Detection ◽  
Detection Algorithm ◽  
Line Of Sight ◽  
False Alarms ◽  
Notification System ◽  
Detection Systems ◽  
Home Robot

Falls in the home environment are a primary cause of injury in older adults. According to the U.S. Centers for Disease Control and Prevention, every year, one in four adults 65 years of age and older reports experiencing a fall. A variety of different technologies have been proposed to detect fall events. However, the need to detect all fall instances (i.e., to avoid false negatives) has led to the development of systems marked by high sensitivity and hence a significant number of false alarms. The occurrence of false alarms causes frequent and unnecessary calls to emergency response centers, which are critical resources that should be utilized only when necessary. Besides, false alarms decrease the level of confidence of end-users in the fall detection system with a negative impact on their compliance with using the system (e.g., wearing the sensor enabling the detection of fall events). Herein, we present a novel approach aimed to augment traditional fall detection systems that rely on wearable sensors and fall detection algorithms. The proposed approach utilizes a UWB-based tracking system and a home robot. When the fall detection system generates an alarm, the alarm is relayed to a base station that utilizes a UWB-based tracking system to identify where the older adult and the robot are so as to enable navigating the environment using the robot and reaching the older adult to check if he/she experienced a fall. This approach prevents unnecessary calls to emergency response centers while enabling a tele-presence using the robot when appropriate. In this paper, we report the results of a novel fall detection algorithm, the characteristics of the alarm notification system, and the accuracy of the UWB-based tracking system that we implemented. The fall detection algorithm displayed a sensitivity of 99.0% and a specificity of 97.8%. The alarm notification system relayed all simulated alarm notification instances with a maximum delay of 106 ms. The UWB-based tracking system was found to be suitable to locate radio tags both in line-of-sight and in no-line-of-sight conditions. This result was obtained by using a machine learning-based algorithm that we developed to detect and compensate for the multipath effect in no-line-of-sight conditions. When using this algorithm, the error affecting the estimated position of the radio tags was smaller than 0.2 m, which is satisfactory for the application at hand.

scholarly journals A novel fuzzy logic algorithm for accurate fall detection of smart wristband

2019 ◽  
Vol 42 (4) ◽  
pp. 786-794 ◽  
Author(s):  
Hongtao Zhang ◽  
Muhannand Alrifaai ◽  
Keming Zhou ◽  
Huosheng Hu
Keyword(s):  
Fuzzy Logic ◽  
Fall Detection ◽  
The Elderly ◽  
Detection Algorithm ◽  
High Rate ◽  
False Alarms ◽  
Fuzzy Logic Algorithm ◽  
Wide Range ◽  
Serious Injury ◽  
Commercial Applications

Falling is a major cause of serious injury or even death for the elderly population. To improve the safety of elderly people, a wide range of wearable fall detection devices have been developed over recent years, such as smart watches, waistbands and other wearable fall detectors. However, most of these fall detection devices are threshold-based and have a high rate of false alarm. This paper presents a novel fuzzy logic fall detection algorithm used in smart wristbands to reduce false alarms and achieve accurate fall detection. Experiments have been conducted in our laboratory and the results show that the proposed algorithm can accurately distinguish fall events from non-fall daily activities such as walking, jumping, clapping, and so forth. It shows good potential for commercial applications.

Substance Abuse and Drug-Related Death, Suicidal Ideation, and Suicide: A Review

Crisis ◽  
1999 ◽  
Vol 20 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Annie Mino ◽  
Arnaud Bousquet ◽  
Barbara Broers
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Substance Abuse ◽  
Suicidal Ideation ◽  
Family Support ◽  
Drug Users ◽  
Suicide Attempts ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Hiv Epidemic

The high mortality rate among drug users, which is partly due to the HIV epidemic and partly due to drug-related accidental deaths and suicides, presents a major public health problem. Knowing more about prevalence, incidence, and risk factors is important for the development of rational preventive and therapeutic programs. This article attempts to give an overview of studies of the relations between substance abuse, suicidal ideation, suicide, and drug-related death. Research in this field is hampered by the absence of clear definitions, and results of studies are rarely comparable. There is, however, consensus about suicidal ideation being a risk factor for suicide attempts and suicide. Suicidal ideation is also a predictor of suicide, especially among drug users. It is correlated with an absence of family support, with the severity of the psychosocial dysfunctioning, and with multi-drug abuse, but also with requests for treatment. Every clinical examination of a drug user, not only of those who are depressed, should address the possible presence of suicidal ideation, as well as its intensity and duration.

MEASLES OUTBREAK IN A RURAL AREA OF A DEVELOPING COUNTRY: A CASE CONTROL STUDY

2018 ◽  
Vol 7 (4) ◽  
pp. 197-201
Author(s):  
Mir M Hassan Bullo ◽  
Mirza Amir Baig ◽  
Jawad Faisal Malik ◽  
Ejaz Ahmad Khan ◽  
Muazam Abbas Ranjha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Vaccine Coverage ◽  
Significant Risk ◽  
Public Health Problem ◽  
Maculopapular Rash ◽  
Healthcare Facility ◽  
Control Measures ◽  
Major Public Health Problem ◽  
District Health ◽  
Active Case

Background: Measles is highly contagious vaccine preventable disease (VPD), and a major public health problem considered as leading cause of morbidity and mortality in developing countries like Pakistan. An outbreak of measles was reported in Sharifabad Islamabad on 15th of April 2017, and an investigation was launched to assess the magnitude of outbreak, evaluate risk factors and recommend control measures. Methods: A comprehensive house to house active case search along with vaccine coverage survey was conducted from April 19-22, 2017. A case was defined as "onset of maculopapular rash with fever in a resident of Sharifabad with at least one of the following signs/ symptoms, Coryza, Conjunctivitis, Cough, Otitis media or Pneumonia present in between 19 March to 22nd April 2017". Four age & sex matched controls were selected from the neighborhood. Data was collected through interview method using structured questionnaire and vaccination coverage was determined by using Epi survey form. Blood samples were sent for laboratory confirmation. Results: A total of eight cases were identified through active case finding while three were reported by local practitioner. Mean age of cases were 20 months (range 8-36 months). Severely affected age-group was 1-2 years with attack rate of 46%. Around two-third (64%) of cases and a few (16%) of controls were unvaccinated against measles. Contact with measles patient [OR 25.2, CI 3.9-160.1, P=0.00], unvaccinated children [OR 9.2 CI 2.12-40.4, P=0.000], social misconception regarding vaccination [OR 7.8 CI 1.42-42.6, P=0.00], and distance from healthcare facility [OR 5.7 CI 1.15-28.35, P=0.02] were significant risk factors. Vaccine efficacy was 90%. Conclusion: Main reasons of the outbreak were contact with the cases, and low vaccination status. We recommended comprehensive measles vaccination and community awareness sessions. On our recommendations district health authority Islamabad carried out mop up of whole area.

Medically Important Vector Borne Disease Control-Botanical Plant Extract Trials

2018 ◽  
Vol 4 (4) ◽  
pp. 513
Author(s):  
Rakhshan .
Keyword(s):  
Disease Control ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Vector Borne Disease ◽  
Development Of Resistance ◽  
Vector Borne ◽  
Synthetic Pesticides ◽  
High Level ◽  
Continuous Use ◽  
Chemical Pesticides

Mosquitoes are vectors of many pathogens which causes serious human diseases like Malaria, Filariasis, Japanese encephalitis, Dengue fever, Chikungunya, Yellow fever and Zika virus which constitute a major public health problem globally. Mosquito borne diseases cause high level of economic impact all over the world and result in millions of death every year. They infect around 700,000,000 people annually worldwide and 40,000,000 only in India. The continuous use of synthetic pesticides to control vector mosquitoes has caused physiological resistance, toxic effect on human health, environmental pollution and addition to these, its adverse effects can be observed on non-target organisms. Synthetic chemical pesticides have been proved to be effective, but overall in last 5 decades indiscriminate use of synthetic pesticides against vector borne disease control have originated several ecological issues due to their residual accumulation and development of resistance in target vectors and their chronic effects.

New Hope for Resistant Hypertention

2012 ◽  
Vol 5 (1) ◽  
pp. 81-91
Author(s):  
Z Rahman ◽  
KK Karmaker ◽  
M Ahmed ◽  
M Aziz ◽  
S Chowdhury ◽  
...  
Keyword(s):  
Resistant Hypertension ◽  
Patient Adherence ◽  
Public Health Problem ◽  
Drug Regimen ◽  
Renal Sympathetic Denervation ◽  
Major Public Health Problem ◽  
Antihypertensive Medications ◽  
Baroreflex Activation Therapy ◽  
Activation Therapy ◽  
Increasing Trends

Hypertension is a major public health problem. Despite the increasing awareness of hypertension and its implications among patients and treating physicians, the prevalence of resistant hypertension    remains high.Resistant hypertension define as blood pressure that remains elevated above treatment goals despite administration of an optimal three drug regimen that include a diuretic1 The prevalence of resistant    hypertension is projected to increase, owing to the aging population and increasing trends in obesity, sleep apnea, and chronic kidney disease. It is estimated that at least 10% of all patients with hypertension are resistant to existing drugs. Management of resistant hypertension must begin with  a careful evaluation of the patient to confirm the diagnosis and exclude factors associated with “pseudo-resistance,” such as improper BP measurement technique, the white-coat effect, and poor patient adherence to life-style and/or antihypertensive medications. Despite the use of the appropriate dose and type of diuretic to overcome the management of resistant hypertension, we can’t achieve our goal. But there is at least two devices namely Baroreflex Activation Therapy and Catheter-based  renal sympathetic denervation make the new hope for the patient with resistant hypertension DOI: http://dx.doi.org/10.3329/cardio.v5i1.12278 Cardiovasc. j. 2012; 5(1): 81-91

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