Performance


Network Coverage

LoneAlarm requires a GSM/2.5G data network or better to be available to the smartphone on which LoneAlarm is installed in order to transmit alarms to emergency responders. Otherwise, the local function of alerting the user with an alarm sound will continue to work, but the alarm will not be transmitted through the available data network to emergency responders.

Alarm Notification Speed

LoneAlarm’s speed of notification of the alarms triggered on the user’s smartphone depends on the availability of network coverage. It also depends on the congestion within the data network at any time and the communications method chosen by the user for conveying alarms to emergency responders (e.g., SMS or email). Nevertheless, alarms are typically received by the emergency responder within 2-3 minutes of the alarm being sent into the network.

Geo-location Accuracy

The ability of LoneAlarm to provide GPS coordinates to an emergency responder depends on the user, i.e., the user must have the geo-location services capability enabled on his/her smartphone at the time LoneAlarm is triggered. Otherwise, the alert will be sent, but it will not convey the location of the user at the time of the incident.

In addition, LoneAlarm relies on the accuracy of the geo-location services capability on the user’s smartphone (typically within ~100m radius), as well as the accuracy of the Android (Google) or iOS (Apple) map function on the emergency responder’s smartphone.

Automatic Fall-Detection

The fall-detection (or “Man-Down”) alarm is automatically triggered based on sensor data from the user’s smartphone and its analysis by LoneAlarm’s proprietary fall-detection algorithm. In laboratory tests using an iPhone 5s dropped in various orientations from 1 meter onto a 1cm hard foam pad over concrete, the LoneAlarm fall detection algorithm achieved a false-positive rate (i.e. incorrectly indicating and alarm) of 0% and a false negative rate (i.e. missing a real alarm) of 0%. Nevertheless, LoneAlarm continues with development work to improve the accuracy of the fall-detection algorithm and the testing methodology in cooperation with a leading Australian university.

For best results in normal use, LoneAlarm recommends that a user’s smartphone running LoneAlarm be kept in a tight-fitting pocket or hand bag, rather than in a loose pocket or pouch.