Women Safety Device Designed Using IoT and Machine Learning

Muskan,; Khandelwal, Teena; Khandelwal, Manisha; Pandey, Purnendu Shekhar

doi:10.1109/smartworld.2018.00210

Cited by 30 publications

(17 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in [14] developed a device that will be clipped to the user's footwear and can be carefully triggered four times by tapping one foot behind the other. A device is developed in [15] that reads and creates patterns such as body temperature and pulse rate automatically during running, including temperature and pulse sensors. If the readings are higher than normal readings, more than one person will automatically get a call and message.…”

Section: Related Workmentioning

confidence: 99%

Design and Development of an Advanced Affordable Wearable Safety Device for Women: Freedom Against Fearsome

Humaira¹,

Ahmed²,

Roy³

et al. 2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Harassment and violence against women have become one of the social security problems in Bangladesh. In this paper, we aim to develop safety devices for women named BOHNNI and BADHON which resemble legitimate jewelry. We used a microcontroller for the hardware device to make it most decisive and less immoderate. BOHNNI, a locating device, is the imitator of a locket including a voice recognizer, Bluetooth, Arduino, GPS, and GSM module. BADHON which imitates a bracelet is a rescue device for the victim whenever she thinks of herself being in a very deliberate situation. Both devices are activated by the user's voice commands and also by a manual switch. The devices are aesthetically designed which will make the users enthusiastic to wear them. The device will generate messages to the predefined relative's numbers with the victim's location and relevant surrounding information. The device can also be used as a self-defending weapon as it can produce a shock up to 10 mA with an interval of two seconds which can temporarily paralyze or freeze a person. After calculating, we have obtained the lowest response time of BOHNNI and BADHON which is 1.95s, and the highest accuracy level of 91.67% in different situations that ensure the superlative performance level of our devices. We found our device as an all-in-one device that combines all the features in it regarding safety.

show abstract

Section: Related Workmentioning

confidence: 99%

Design and Development of an Advanced Affordable Wearable Safety Device for Women: Freedom Against Fearsome

Humaira¹,

Ahmed²,

Roy³

et al. 2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…Studies Online detection [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [9], [39], [40], [41], [42], [43], [8], [44], [45], [46], [47], [48], [49] Offline detection [50], [51], [52], [53], [54], [7], [55], [56] Safety [57], [13], [58], [59], [60], [61],…”

Section: Categorymentioning

confidence: 99%

“…Using a different approach, in [61], the authors considered situations in which a woman is in danger but is unable to press a help button or utter emergency words. The authors propose a wearable IoT device that predicts whether or not a woman is in danger, based on changes in her body temperature and pulse rate.…”

Section: ) Safetymentioning

confidence: 99%

A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children

et al. 2021

View full text Add to dashboard Cite

Violence against women and children are public health issues of pandemic proportions. It is estimated that one in every three women worldwide have experienced physical, emotional or sexual violence. Similarly, each year one of two children are victims of some form of violence, including domestic aggression and bullying. Due to the widespread use of the Internet and social media, women and children are also now vulnerable to other types of violence such as cyber-bullying and online sexual or emotional harassment. To help alleviate these social problem, the use of computer sciences and related technologies has been leveraged in recent years. The Internet of Things, artificial intelligence, ubiquitous and mobile computing, pattern recognition, cloud computing, and similar technologies have been used to formulate solutions to detect and prevent violent acts. In this paper, a systematic review of some of the efforts that can help address the problem of violence against women and children is presented. This paper describes the current state-of-the-art of these contributions and identifies trends, architectures, technologies, and current open challenges. The survey was developed using a literature review of academic documents published from 2010 to 2020. The contributions were categorized in four application domains: online detection, offline detection, safety and education. Additionally, these contributions were further categorized based on the computer science approaches and technologies used: artificial intelligence, Internet of Things and digital serious games.

show abstract

“…The safety tools for children that have been created in recent decades include smart shoes [2], [7], smart rings [3], smart bracelets [8], which they can wear at any time and outside the house [2], [3], [7], [8], which we usually know as smart wearable devices. Several research has shown that these safety tools are of good quality [3]- [6], but there has been no research on children's safety equipment that is cheaper, user friendly, small, disguised, and available to use in online transportation. There is also no research using Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752 …”

Section: Introductionmentioning

confidence: 99%

A smart wearable device based on internet of things for the safety of children in online transportation

Tunggadewi

Agustin

Yunardi

2021

IJEECS

View full text Add to dashboard Cite

The world needs to pay attention to children who often become victims of violence and cannot escape social problems. Various safety devices that are commonly known as smart wearable devices have been created, but they still have many shortcomings. Thus, in this research a safety device that can be held by children is designed and is equipped with a button that can be pressed, then it will automatically send the location and photo of the scene to the parent's cellphone via the telegram application. It uses the Raspberry Pi Zero W controller, the GNSS HMC5983 SAW LNA GPS Module to determine the location, and the 5MP Raspberry Pi Zero Camera Module to capture the incident. Based on the results, the average time needed to share locations is 0.91 seconds, and the average time needed to capture is 11.57 seconds, if the device and receiving cellphone use the same network. Additionally, the average time needed to share locations is 0.96 seconds, and the average time needed to capture is 12.09 seconds, if the device and receiving cellphone use a different network. Both conditions have 97.5% location accuracy rate and 100% photo accuracy rate.

show abstract

Women Safety Device Designed Using IoT and Machine Learning

Cited by 30 publications

References 2 publications

Design and Development of an Advanced Affordable Wearable Safety Device for Women: Freedom Against Fearsome

Design and Development of an Advanced Affordable Wearable Safety Device for Women: Freedom Against Fearsome

A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children

A smart wearable device based on internet of things for the safety of children in online transportation

Contact Info

Product

Resources

About