Trademarks (or service marks):
Our Trademark: OuchAlert
Trademark Search Website used for OuchAlert search (USPTO):
No results found for OuchAlert trademark in the USPTO database.
NOTE: The link leads to the "search" portion of the USPTO website, not the actual search for OuchAlert. However, the website allowed for the exporting of the search results for OuchAlert, which can be found on the following Excel sheet.
Secondary Search on Trademark Engine:
No results found for OuchAlert trademark in this database either.
Tertiary Search on WIPO (World Intellectual Property Organization):
No results found for OuchAlert in the WIPO Database.
We can conclude that, should our group choose to continue with this trademark, the OuchAlert trademark created by our group would not cause any trademark infringement.
Copyrights (or licenses)
Search: Fall Detection
Our source for the search was the Copyright Public Records.
"Fall Detection by Using Video" claimed by John Gripentog since 2016-02-23.
"Fall detection using a single video camera" claimed by Elizabeth Ann Schlegel since 2015-10-09.
"Apple Watch Series 6 - FALL DETECTION :15 -US-EN" claimed by Apple Inc. since 2021-08-27.
"Personal Emergency Response Systems Are More Than Just About Fall Detection" claimed by Connect America.com, LLC since 2024-09-27.
"Vision-based 3d human motion analysis for fall detection and bed-exiting" claimed by Xiaoxiao Dai since 2013-12-13.
Based on our search, our product requires that we detect falls in a manner different that what is copyrighted above. This includes using video, a single video camera, using a mobile device, and vision-based 3d human motion analysis. As long as there is difference in our product versus the ones listed above, our product will be safe from copyright infringement.
Patents (or standards)
Apple has an active patent for detecting falls using a mobile device
The mobile device records how fast it is moving and in what direction over clusters of time. Not only does the device look for a sudden impact, but it also analyzes the user's movement before and after the impact. With the combination of this data, the device can determine whether or not the user has fallen. If the motion matches the pattern of a fall (ex. walking, a hard jolt, then a bit of movement), the device concludes the person fell and sends an alert.
There is a pending patent for a fall detection system that incorporates multiple types of sensors. There were 5 different models of the fall detection system that included a combination of the following sensors:
Altitude sensor: Measures the height of the fall detection device relative to a reference point (ex. sea level).
GNSS sensor: Determines the user's location.
RF sensor: Detects signals like Bluetooth, Wi-Fi, or NFC to connect to another device and send a location or notification.
Pulse oximetry sensor: Measures heart rate and blood oxygen levels, as changes in these can signal an impending or recent fall.
Motion sensor: Detects movement, such as sudden changes in motion.
Sound sensor: Listens for sounds to detect movement or impacts.
Sonic or ultrasonic sensor: Emits a sound wave and uses the reflected wave to measure the user's distance relative to the floor.
Once again, our product needs to detect falls in a different manner than what is currently out there. This can be achieved by modifying the detection algorithms, introducing new sensors, or pursuing a unique approach to fall detection. An example of a unique approach would be through behavioral analysis, where gradual changes in movement, such as unsteady walking or changes in heart rate, are used to predict falls before they happen.