Marvelous Hand: An IoT-Enabled Artificial Intelligence-Based Human-Centric Biosensor Design for Consumer Personal Security Application

In Smart cities, incorporating smart devices, the interaction in between the human and machine is a key aspect. The next generation industrialization of smart cities, not only focuses on machine’s utilizations but also towards handling security at the time of human assaults. The existing approaches towards handling personal assaults, especially towards females, is time consuming which requires human interventions like speed dialing and emergency dialing using smart phones. The mechanism that this paper proposes will help anyone, in protecting themselves from the assault that could happen with them when they are alone or are in a distressed state. It will leverage state-of-the-art brain wave biosensor technology, IoT, LoRa and machine learning to give power in the hands of the person with which he or she can protect themselves. The proposed smart device is able to track the user in real-time using the LoRa Edge and perform precautionary action using the gloves activated through brain waves. This innovative solution not only ensures personal safety but also has the potential to transform smart cities and workplaces, making them safer, more reliable, and independent. Experimental results validate that with around 99% accuracy, the device is efficient enough in handling assaults involuntarily in contrast to current voluntary personal safety devices. By harnessing the power of consumer electronics and cutting-edge technologies, this smart device enhances security and empowers individuals to safeguard themselves in an increasingly interconnected world.