Recently, an interesting news item has attracted widespread attention in the industry, "Apple Watch fall detection feature 'disrupts' Spielberg's speech", famous director Spielberg, who directed films such as "Jurassic Park" and "Artificial Intelligence", was giving a lively speech at a seminar, combining body language, when the Apple watch generated a fall alarm, interrupting his speech. In order to continue his speech, Spielberg took off the watch and threw it aside. As the watch did not receive a response from the wearer, it started a countdown to automatically dial emergency services. Realizing the situation was not right, Spielberg quickly picked up the watch and canceled the alarm.

This incident not only demonstrates the potential of smart watches in safety monitoring, but also exposes the challenges in accuracy. ThinkRace, as an international company specializing in smart wearable devices, immediately conducted a thorough analysis.

ThinkRace company, dedicated to the design, development, and industry solutions of smart wearable devices, has deep technical expertise and innovation capabilities. Its products are recognized globally, especially in the fields of smart elderly care, sports health management, and industry positioning security monitoring. The products cover more than ten countries in North America, South America, and the Middle East. In industries such as smart elderly care, intelligent construction site management, community correction (supervision of non-prisoners serving sentences outside prison), and mine personnel management, comprehensive monitoring is achieved through GPS/Beidou and wireless technology, providing positioning and health data for the elderly, workers, parolees, etc., effectively ensuring their safety and health.

Falling alarm function is crucial for the elderly and specific occupational groups, as it can timely notify family members or emergency services at critical moments, avoiding tragedies. However, smartwatches face the dual challenges of false alarms and sensor accuracy in implementing this function. ThinkRace pays high attention to this and is committed to developing more accurate algorithms to reduce false alarms while ensuring timely alerts when needed.

For example, this time the "trouble" caused by the Apple Watch, ThinkRace analysis believes that the Apple Watch mainly uses the three-axis accelerometer and gyroscope to determine fall alarms. These sensors are very sensitive to high dynamic and wide range movements, so when performing certain hand activities, such as the waving and swinging movements done by Spielberg, they may be mistakenly identified as falls. In addition, the fall detection algorithm of the Apple Watch is developed based on a large amount of data collection and analysis, aiming to identify falling actions. However, the algorithm may not be perfect and sometimes may incorrectly interpret certain actions as falls.

ThinkRace's smart watch is able to achieve fall detection alarm through a fall algorithm similar to the Apple Watch. This algorithm can meet the needs of most industry applications, such as monitoring the safety and health of the elderly, workers, etc. Based on this, ThinkRace has also conducted research on new sensors and algorithms. If the loved one wears a smart watch and wears a sensor at the waist position at the same time, the fall detection alarm will be more accurate. Considering that the posture of the hand is very rich, the force and speed usually exceed the posture of the body, it is not easy to accurately judge whether the wearer's body is falling. The movements and changes in posture of the waist are more reflective of changes in body posture compared to the hands, making fall detection more accurate. Of course, this approach will add a new device. ThinkRace usually communicates between the waist sensor and the smart watch through Bluetooth. This solution can be used for industry applications that require higher fall detection alarm requirements.

ThinkRace's R&D team is also researching machine learning algorithms and AI to further reduce false alarm rates by analyzing user activity patterns through artificial intelligence.

ThinkRace's goal is to provide a smartwatch that is both accurate and user-friendly, able to quickly respond in emergency situations while minimizing interference in daily life. When a fall event is detected, the watch will automatically activate the emergency response mechanism, including notifying emergency contacts, sending location information, and dialing emergency service numbers, ensuring maximum safety and health protection for users.