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Wristwatch-type information devices, so-called smart watches, are excellent for telecare services because they are normally close to users and can continuously sense user activities.
Novel smart watches technologies provides an interesting opportunity to design new forms of user interaction with mobile phones.
Thus, the smart supercapacitor is qualified for a promising candidate for the next-generation smart watches.
Human motion data captured from wearable devices such as smart watches can be utilized for activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes.
The results show good agreement with low-frequency noise measurements reported in literature.
This is particularly advantageous for sensors where electronic noise is the major noise contributor.
Subjective alertness showed a clear rhythm of considerable amplitude; the phasing of this rhythm suggested that, under the present system, operational effectiveness is likely to be reduced in watches held in night hours.
The high performance and good robustness provide with great prospect to scavenge the noise energy in environment.
The technique is well suited to existing wearable device forms such as smart watches that are already mounted on the wrist.
The measurement protocol developed here can be employed in homes, demonstrates the possibility of measuring long-term noise exposures in homes with technologies beyond traditional SLMs, and highlights potential pitfalls associated with measurements made by smart devices.
The clinical application of smart watches as assistive devices deserves further attention.

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