18462324. SUBMERSION DETECTION, UNDERWATER DEPTH AND LOW-LATENCY TEMPERATURE ESTIMATION USING WEARABLE DEVICE simplified abstract (Apple Inc.)

SUBMERSION DETECTION, UNDERWATER DEPTH AND LOW-LATENCY TEMPERATURE ESTIMATION USING WEARABLE DEVICE

Organization Name

Apple Inc.

Inventor(s)

Stephen P. Jackson of San Francisco CA (US)

Ti-Yen Lan of Palo Alto CA (US)

Yi Wen Liao of San Jose CA (US)

Alexandru Popovici of Santa Clara CA (US)

Igor Tchertkov of Los Gatos CA (US)

Rose M. Wahlin of San Francisco CA (US)

Natisa Jeyakanthan of Mountain View CA (US)

Amit K. Jain of Fremont CA (US)

Kenneth M. Lee of Morgan Hill CA (US)

SUBMERSION DETECTION, UNDERWATER DEPTH AND LOW-LATENCY TEMPERATURE ESTIMATION USING WEARABLE DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18462324 titled 'SUBMERSION DETECTION, UNDERWATER DEPTH AND LOW-LATENCY TEMPERATURE ESTIMATION USING WEARABLE DEVICE

Simplified Explanation

The patent application describes methods for detecting submersion, estimating underwater depth, and low-latency temperature estimation using wearable devices.

• Method involves determining vertical accelerations from both inertial sensor and pressure data, calculating a feature based on the correlation between the two sets of accelerations, and using a machine learning model to determine if the device is submerged in water.
• Another method includes determining the submersion state of the device, and if submerged, estimating water temperature based on ambient water temperature, a temperature error lookup table, and the rate of change of ambient water temperature.

Potential Applications

This technology can be applied in various fields such as:

• Water sports and activities
• Marine research
• Environmental monitoring

Problems Solved

This technology addresses issues such as:

• Accurate submersion detection
• Real-time temperature estimation underwater
• Low-latency data processing

Benefits

The benefits of this technology include:

• Improved safety for water-related activities
• Enhanced data collection for marine research
• Efficient environmental monitoring in water bodies

Potential Commercial Applications

• "Submersion Detection and Temperature Estimation Technology for Wearable Devices

Original Abstract Submitted

Embodiments are disclosed for submersion detection and underwater depth and low-latency temperature estimation. In an embodiment, a method comprises: determining a first set of vertical accelerations obtained from an inertial sensor of a wearable device; determining a second set of vertical accelerations obtained from pressure data; determining a first feature associated with a correlation between the first and second sets of vertical accelerations; and determining that the wearable device is submerged or not submerged in water based on a machine learning model applied to the first feature. In another embodiment, a method comprises: determining a submersion state of a wearable device; and responsive to the submersion state being submerged, computing a forward estimate of water temperature based on measured ambient water temperature at the water surface, a temperature error lookup table, and a rate of change of the ambient water temperature.