# A Helping Hand to the Elderly: Securing Their Freedom through the HAIE Framework
## 7 Limitations and Future Work  
In the technology field, new advancements can occur so quickly that anticipating what might happen in the future may be pointless, as these advancements often occur as soon as they are predicted. While the future of smart homes is promising, we must adopt a comprehensive perspective and recognize the drawbacks that such expansion brings.  
* Security concerns: With the increasing use of smart home gadgets, security concerns are likely to become a major issue, similar to other computing equipment. Consequently, many ecurity issues are expected to emerge, leading to a surge in the demand for smart home security software and equipment.
* App security: Smart home gadgets typically come with companion apps that enable users to operate them. However, these apps require various permissions that affect the device's functionality, such as the ability to lock and unlock smart home security systems. If hackers manage to gain access to these apps, they could potentially gain entry to one's home, leading to serious security implications. To mitigate these risks, it is crucial to keep smart home apps up-to-date and apply software and security upgrades.
* Wireless security: Wireless connectivity (Wi-Fi or Bluetooth) is essential to the functionality of almost all smart devices. However, as with all digital communications, wireless connections are susceptible to interception by hackers, who can exploit information to gain unauthorized access to smart home equipment. Therefore, it is crucial for people to secure their home Wi-Fi routers since Wi-Fi is one of the most commonly used methods for connecting to smart home appliances.
* Cost: While many smart home gadgets are now affordable for most people, fully outfitting a home with such devices can still be costly.
* Greater acceptance: As with many new technologies, some individuals may perceive smart home technology as unnecessary. However, similar to the evolution of essential home appliances, such as washing machines, microwaves, and TV remote controls, it is probable that in a few years, the notion of controlling one's lights with voice commands or utilizing a robotic vacuum cleaner to clean one's house will be widely accepted and commonplace.  
Furthermore, this work can be extended through the development and implementation of artificial intelligence (AI), machine learning (ML), deep learning, and futuristic technologies such as robotics and 3D printing, which have significantly contributed to advancements in the health sector. Since deep learning is a subset of machine learning, deep learning is capable of achieving larger-scale performance. It utilizes more data and has a higher level of autonomy. AI and deep learning-based technologies are currently influencing numerous aspects of consumer life. The efficiency of HAIE can increase with the help of AI and deep learning. Home objects can be linked to systems that utilize deep learning to identify trends in human behavior, and to forecast things, such as the need for heating and lighting. Integrating machine learning and deep learning can introduce an automated learning pattern in the proposed model. This will help to address the new problem of aging in place.