Search for: All records

With a steady rise in the aging population, researchers predict that one out of every six people will be over the age of 65 by 2020. Seniors need to monitor their health consistently as chronic diseases such as diabetes, arthritis, dementia, are highly prevalent among them. This has lead to an increase in the use of devices such as sensors, cameras, and robots, with technologies such as artificial intelligence and the internet of medical things. These can help in designing innovative solutions for improving the daily life of seniors and helping them to be more independent. Though the recent advancements in technology can help in developing a better assisted living, the key challenge is to make a reliable framework that can help the consumer in using those product at ease. In challenging times, such as the current pandemic, the need for a framework that can help in reducing social interaction is particularly significant. In this paper, we discuss an interactive framework with the help of a smart camera and smart speakers that can help seniors to manage their essential resources at ease. This Internet of Things based framework can help seniors in having an organized inventory without ever needing to leave their home. 

Anxiety disorders affect more than 18 percent of the population and is the most common mental illnesses in the US. There is a great demand to address this emerging epidemic with tools to differentiate and diagnose such disorders, and to create awareness especially in places like NorthEast Texas which is home to 1.5 million people with 58 percent of them living in rural areas. The goal of the proposed device is to diagnose as many anxiety disorders as possible, in real-time using the diagnosing wearable framework, SolicitudeSavvy, which uses technology such as the Internet of Things (IoT), a network of interconnected devices, to accomplish such a task. The proposed IoT-based device has two components: a custom-built wearable necklace that contains sensors to collect data about the user as they go about their day and a low-cost portable system that monitors Electrooculography (EoG) signals using a camera. The partial necklace attaches to the shirt and opens halfway around the wearer's neck and the EoG can be attached to any eyewear. The device monitors the user throughout the day, and even as they go to bed at night. This information is accumulated in the IoT cloud and analyzed to see exactly what type of disorder(s) the patient may suffer from. The authorized personnel i.e. doctor or therapist can use this pattern to find a treatment that best suits them and is most likely to resolve their affliction.