# A Helping Hand to the Elderly: Securing Their Freedom through the HAIE Framework
## 5 Case Studies
### Case Study 2: [PERSON]: IoT-Based SVA (Smart Voice Assistance)  
[PERSON], a 70-year-old Indian woman, visits the neurology department upon the recommendation of her primary care provider due to concerns about mood swings and memory problems. The patient states that she has been forgetting things. The prior day, she could not remember her cat's name. She stood there staring at her cat for an extended period of time, unable to remember. It was a dire situation for her. The patient also reports difficulties in remembering phrases needed to express herself at times. She is worried about her forgetfulness as well. She is constantly misplacing things and neglecting what she is doing. The patient is not overly concerned about these symptoms; she states that, usually, she is fine. [PERSON]'s husband, [PERSON], reports that she often repeats herself and forgets important details; he notes that the symptoms appear to be worsening. For the past few years, [PERSON] has noticed some nebulous symptoms, and during the last four to five months, these symptoms have become more regular. [PERSON] and [PERSON] both agree that she has not experienced any difficulties carrying out her daily work or other routine activities. [PERSON] mentions that her mood swings started two months ago. When pressed for more information, she becomes easily annoyed (Reference: (Figure 16)). The deployment of case study 2 can be viewed in Appendix A Figure A1a. Features of SVA  
* Reduces memory loss. * No more misplaced items. * Improves problem-solving. * Increases social initiatives. Figure 16: Case Study 2: [PERSON]. * No confusion regarding time and location. Highlights for additional research in pattern recognition  
[PERSON]'s case study highlights various issues, including the introduction of technology, the management of external influences, and the integration of technology with modifications to the physical environment, which may seem unrelated. One significant aspect of the broader discussion is the role of family members in initiating and implementing technology in the homes of older individuals. Another highlight is the impact of power outages on smart home technologies and the ability of elderly individuals to resolve ensuing issues. House modifications, combined with smart technology tailored to specific needs, are crucial. In this context, smart voice assistance (SVA) is a highly valued attribute of this technology. It allows for remote screening and the control of security, ensuring that [PERSON]'s well-being is maintained. Additionally, [PERSON] can provide decision-making support without the need for [PERSON] to be physically present. Limitations of SVA  
SVA has helped [PERSON] in many aspects, including remembering her day-to-day tasks and maintaining her social life. Although SVA has many benefits, it still has a few drawbacks:  
* The initial cost could outweigh savings. * Security. * Voice recognition is not perfect. * Dependency on the internet. Figures 15 and 16 use the HAIE-based map to illustrate the data from the two case studies, recognizing the clear connection between the IoT-enabled environment, formal and informal care, and contemporary technology for AiP. In light of this, the suggested multi-layer cloud architectural approach, as illustrated in Figure 8, using the public cloud layer stated above, facilitates the smooth integration of auxiliary applications (often private clouds) offered by diverse manufacturers. This enables efficient, on-demand, low-cost, real-time home services. In the first case study, [PERSON] lives in a small village with outdated technology. He is less supported as he lives alone. In case study 2, [PERSON] and her husband reside in a city. She has the right assistance. Even if the high-tech gadgets stated above are quite practical and dependable, occasionally, an internal bug, network issue, or server malfunction might render these devices worthless.