New Approach for Fall Detection System Using Embedded Technology

Al-Okby, Mohammed Faeik Ruzaij; Al-Barrak, Saad Salah

doi:10.1109/ines49302.2020.9147170

Cited by 14 publications

(11 citation statements)

References 11 publications

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“…The main goal of the proposed work is to evaluate, which parameter should be used in future design for hazardous gases detection and alarming systems. A combination of two different gas measurement parameters such as the IAQ-index and TVOC will allow the system to minimize false-positive as well as false-negative gas detection errors [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Al-Okby

Neubert

Roddelkopf

et al. 2022

Sensors

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The measurement of air quality parameters for indoor environments is of increasing importance to provide sufficient safety conditions for workers, especially in places including dangerous chemicals and materials such as laboratories, factories, and industrial locations. Indoor air quality index (IAQ-index) and total volatile organic Compounds (TVOC) are two important parameters to measure air impurities or air pollution. Both parameters are widely used in gases sensing applications. In this paper, the IAQ-index and TVOCs have been investigated to identify the best and most flexible solution for air quality threshold selection of hazardous/toxic gases detection and alarming systems. The TVOCs from the SGP30 gas sensor and the IAQ-index from the SGP40 gas sensor were tested with 12 different organic solvents. The two gas sensors are combined with an IoT-based microcontroller for data acquisition and data transfer to an IoT-cloud for further processing, storing, and monitoring purposes. Extensive tests of both sensors were carried out to determine the minimum detectable volume depending on the distance between the sensor node and the leakage source. The test scenarios included static tests in a classical chemical hood, as well as tests with a mobile robot in an automated sample preparation laboratory with different positions.

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Section: Introductionmentioning

confidence: 99%

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Al-Okby

Neubert

Roddelkopf

et al. 2022

Sensors

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“…For instance, an elderly person could be staying in an apartment which is a part of a multistoried building such as Taipei 101 [70] or Burj Khalifa [71]-both of which are amongst the tallest buildings in the world. When this elderly person experiences a fall, a fall detection system such as [51], could detect a fall and alert caregivers but the current GPS-based technologies would only provide the building level information.…”

Section: Comparative Discussionmentioning

confidence: 99%

“…For instance, consider the example of an elderly staying alone in an apartment located in a multistoried building. When this elderly person experiences a fall, a fall detection system such as [51] could alert caregivers but the lack of the precise location information could cause delay of medical attention or assistive care. This is because the location of the elderly can be tracked in terms of the building information from GPS, but the specific floor, apartment, or room-related information is not available to the caregivers or emergency responders.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The wearables were placed on six different locations on the user's body to track multimodal components of motion and behavior data, which were studied and analyzed by a convolution neural network. In [51], Al-Okby proposed a smart wearable device for detection of elderly falls. The device analyzed multimodal components of the user's motion and had the functionality to alert caregivers in the event of a fall.…”

Section: Literature Reviewmentioning

confidence: 99%

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Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes

Thakur

Han

2021

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This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes the data from Bluetooth Low Energy (BLE) beacons and BLE scanners to detect a user’s indoor location in a specific ‘activity-based zone’ during Activities of Daily Living. Second, it introduces a context independent approach that can interpret the accelerometer and gyroscope data from diverse behavioral patterns to detect the ‘zone-based’ indoor location of a user in any Internet of Things (IoT)-based environment. These two approaches achieved performance accuracies of 81.36% and 81.13%, respectively, when tested on a dataset. Third, it presents a methodology to detect the spatial coordinates of a user’s indoor position that outperforms all similar works in this field, as per the associated root mean squared error—one of the performance evaluation metrics in ISO/IEC18305:2016—an international standard for testing Localization and Tracking Systems. Finally, it presents a comprehensive comparative study that includes Random Forest, Artificial Neural Network, Decision Tree, Support Vector Machine, k-NN, Gradient Boosted Trees, Deep Learning, and Linear Regression, to address the challenge of identifying the optimal machine learning approach for Indoor Localization.

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“…The systems in [27,29,30,40,49,50] are good examples for IoT-based implementation which is one of the important improvements in the ongoing and next generation of hazardous gases detection and alarming systems design [71,72]. As the presented review focus on the mobile systems, we found that the IoT-based systems can achieve the following advantages over implementations: Several systems in this review use ZigBee communication modules to establish the wireless communication between the sensors node and the monitoring station, which is a good choice for indoor short-range data transferring in WSN.…”

Section: Communication Technologymentioning

confidence: 99%

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Al-Okby

Neubert

Roddelkopf

et al. 2021

Sensors

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The leakage of hazardous gases and chemical vapors is considered one of the dangerous accidents that can occur in laboratories, workshops, warehouses, and industrial sites that use or store these substances. The early detection and alarming of hazardous gases and volatile chemicals are significant to keep the safety conditions for the people and life forms who are work in and live around these places. In this paper, we investigate the available mobile detection and alarming systems for toxic, hazardous gases and volatile chemicals, especially in the laboratory environment. We included papers from January 2010 to August 2021 which may have the newest used sensors technologies and system components. We identified (236) papers from Clarivate Web of Science (WoS), IEEE, ACM Library, Scopus, and PubMed. Paper selection has been done based on a fast screening of the title and abstract, then a full-text reading was applied to filter the selected papers that resulted in (42) eligible papers. The main goal of this work is to discuss the available mobile hazardous gas detection and alarming systems based on several technical details such as the used gas detection technology (simple element, integrated, smart, etc.), sensor manufacturing technology (catalytic bead, MEMS, MOX, etc.) the sensor specifications (warm-up time, lifetime, response time, precision, etc.), processor type (microprocessor, microcontroller, PLC, etc.), and type of the used communication technology (Bluetooth/BLE, Wi-Fi/RF, ZigBee/XBee, LoRa, etc.). In this review, attention will be focused on the improvement of the detection and alarming system of hazardous gases with the latest invention in sensors, processors, communication, and battery technologies.

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New Approach for Fall Detection System Using Embedded Technology

Cited by 14 publications

References 11 publications

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

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