In my design for MuseumMate, my idea is to enhance the museum viewing experience for elderly people by integrating a smartwatch. In designing this watch, there are several aspects I need to consider:
1. To detect the gestures and muscle nerve movements of elderly people when interacting with artefacts.
2. To monitor the heart rate of the elderly to ensure safety during interactions and while browsing the museum.
3. To ensure that in case of emergencies, signals for help or assistance can be promptly communicated to museum staff.
4. Also consider whether the addition of these hardware features will increase the weight of the watch for elderly users.
5. To ensure that the addition of hardware components does not compromise the smartwatch aesthetics.
6：In a noisy museum environment, need ensure that voice commands from elderly users are detected by the device, allowing them to control its functions
Through these steps and research I can determine the feasibility and practicality of this approach. Additionally, by analyzing videos of existing hardware tests, I can better understand the implementability of my design ideas
Electromyography (EMG) control LED Board
Smartwatch with EMG sensor
EMG SENSORY CONTROL AR GLASSES
https://www.ns-businesshub.com/technology/facebook-wristband-ar-smart-glasses/
Myo Armband control the mouse cursor on the computer screen
https://medium.com/@sumgr0/myo-armband-gesture-based-wearable-f6b52ca5782f
Advanced Voice Recognition Algorithms:
Machine Learning Models: Implementing sophisticated algorithms that can learn and adapt to differentiate between the user’s voice and background noise.
Contextual Awareness: Algorithms that understand the context of the museum environment may better filter out irrelevant sounds.