In the context of wearable technology, which of the following tasks is/are accomplished by wearable devices? 1. Location identification of a person 2. Sleep monitoring of a person 3. Assisting the hearing impaired person Select the correct answer using the code given below.

Explicitly states that GPS is a tool to find exact locations and that technology enables handling large geospatial data.

A student could check whether common wearables include or access GPS modules (or use connected phones' GPS) to infer potential for location identification.

States that passenger vehicles are fitted with GPS devices for real-time tracking and intervention, showing GPS use for live location tracking.

By analogy, a student could ask whether wearables can host similar GPS/communication components to enable real-time tracking of a person.

Notes that GPS can track positions of farm vehicles and that drones use GPS with sensors for mapping and remote control.

A student could extend this pattern to personal devices: if small devices (drones, vehicles) use GPS for location, small wearables plausibly could too; check device specs.

Describes IoT-led devices with remote sensors that record real-time conditions and transmit data for analysis.

A student could consider whether wearables are IoT devices that transmit sensor data (including location) via networks to enable tracking.

Highlights rapid developments in telecommunications, mobile phones, Internet and satellite communication enabling remote contact and information access.

Using this, a student could reason that wearables connected to mobile/satellite networks might convey location data for identification or tracking.

Recommends maintaining a health diary to track sleep alongside other health metrics, implying sleep is a measurable health variable.

A student could reason that because sleep is tracked in health monitoring, devices (wearables) designed for health tracking might record sleep duration/patterns and then seek specific device specs or studies to verify.

Explains that modern devices measure very small time intervals (milliseconds/microseconds) for medical monitoring (e.g., ECG), establishing that electronic devices can precisely record temporal physiological data.

One could infer that wearables capable of precise time measurement could log sleep duration and timing, then check wearable sensor descriptions for sleep-tracking features.

Describes how light and circadian rhythms affect sleep, framing sleep as a physiological pattern tied to measurable environmental and biological signals.

A student could deduce that wearables sensing movement or light exposure might detect circadian-related sleep patterns and then look for devices that record such signals to infer sleep stages/duration.

Notes that time shifts (DST) can disrupt travel and sleep patterns, treating sleep as an observable pattern that can vary with external time cues.

This supports the idea that tracking changes in sleep over time is meaningful; a student might then check whether wearables provide longitudinal sleep logs to detect such disruptions.

Highlights rapid developments and wide use of telecommunications and computers across fields, suggesting technology is commonly applied to new areas including personal health monitoring.

One could extend this to expect that pervasive consumer devices (wearables) may incorporate health-monitoring features like sleep tracking, and then search product/technical literature for confirmation.