Human Activity Monitoring Using AIoT is one of the current topics of research. In fact, wearable sensors can collect data that we can use to monitor human activities. Besides, the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques help us in detecting what activity a person is performing.
What is AIoT?
Basically, a combination of AI techniques and the Internet of Things (IoT) is known as AIoT of Artificial Intelligence of Things. AI techniques offer opportunities to impart human intelligence to IoT devices. Indeed the IoT systems collect useful data from the environment. While AI techniques provide useful insights from that data. also, AI techniques also provide predictions from the data that Io devices collect.
Why Human Activity Monitoring Using AIoT is Beneficial?
Human Activity Recognition is helpful in many ways, especially it is beneficial in healthcare. For instance, it can detect a fall and can generate an alarm. Moreover, with the help of AIoT, smart devices can help blind persons in walking. Apart from elderly care, human activity monitoring can also be used in detecting malicious behavior of people. Moreover, people can use this facility for monitoring daily life activities. For example, a person can monitor the sleep pattern or activity pattern. Furthermore, AIoT can also help assist factory workers in manufacturing units by detecting their actions and guiding them accordingly.
Different Approaches for Human Activity Monitoring
While we commonly use video in indoor environments, for activity recognition. However, this approach is both complex and costly. Because there are many hindrances in video detection such as variation in lighting conditions and illumination. Or an object may be occluding the person. Therefore the use of sensors becomes more suitable. Further, sensors may be wearable sensors that can be fitted in watches or clothing. Also, we can have sensors in smartphones.