Prestaging, gesture-based, access control system

1. A prestaging, gesture-based, access control system comprising:

an application operable to be executed by a processor system of a mobile device;

wherein the mobile device is operable to be carried by a user and configured to communicate with a local access assembly that controls access to an access controlled item;

wherein the local assembly is adapted to operate between an access state and a no-access state, the local access assembly including a controller to effect actuation between the access state and the no-access state;

wherein the application is operable to receive detection data from at least one detection system of the mobile device, the detection data comprising prestaging event information followed by primary intentional gesture information;

wherein the prestaging event information represents a prestaging event inherently performed by the user toward an intent to gain access;

wherein the primary intentional gesture information represents a primary intentional gesture specifically performed by the user toward the intent to gain access;

wherein the application includes a database of preprogrammed scenario data associated with the prestaging event and the primary intentional gesture;

wherein the processor system is configured to execute the application to determine the performance of the prestaging event from the prestaging event information, then determine the performance of the primary intentional gesture from the primary intentional gesture information if the prestaging event is determined to have occurred;

wherein the prestaging event is an inherent gesture;

wherein the inherent gesture comprises a decelerating walk by the user;

wherein the primary intentional gesture is a device-free gesture; and

wherein the device-free gesture comprises one or more of a reach for or a grabbing of the access controlled item.

2. The prestaging, gesture-based, access control system set forth in claim 1 , wherein:

the at least one detection system is operable to generate the detection data based at least in part on the preprogrammed scenario data; and

the preprogrammed scenario data comprises a compound motion by the user that is dependent upon a carrying location of the mobile device on the user.

3. The prestaging, gesture-based, access control system set forth in claim 2 , wherein:

the application includes machine learning algorithms; and

the machine learning algorithms are trained to use the compound motion to confirm the performance of the prestaging event and the performance of the primary intentional gesture.

4. The prestaging, gesture-based, access control system set forth in claim 1 , wherein:

the processor system includes a timer;

the application is configured to initiate the timer upon the detection of the prestaging event; and

the primary intentional gesture is performed and confirmed during a prescribed time interval measured by the timer.

5. The prestaging, gesture-based, access control system set forth in claim 1 , wherein the application is configured to effect a command signal sent to the local access assembly to actuate the local access assembly from the no-access state to the access state if the primary intentional gesture is determined.

6. The prestaging, gesture-based, access control system set forth in claim 1 , wherein the mobile device includes a human interface device (HID) adapted to provide notifications to the user.

7. The prestaging, gesture-based, access control system set forth in claim 4 , wherein the mobile device includes a human interface device (HID) adapted to provide notifications to the user during the prescribed time duration.

8. The prestaging, gesture-based, access control system set forth in claim 1 , wherein the prestaging event contributes toward a motion of the mobile device, and the at least one detection system includes an inertial measurement unit (IMU) sensing system configured to measure the motion.

9. The prestaging, gesture-based, access control system set forth in claim 8 , wherein the application includes a motion module configured to receive the measured motion and determine prestaging event occurrence based at least in-part on the measured motion.

10. The prestaging, gesture-based, access control system set forth in claim 8 , wherein the primary intentional gesture is detected by at least one of the IMU sensing system and an environment detecting system of the at least one detection system.

11. The prestaging, gesture-based, access control system set forth in claim 9 , wherein the motion module is initiated by the application upon a determination by the application that the user is within a prescribed vicinity of the access assembly as determined by at least one of a received signal strength indicator (RSSI) module of the application and a satellite-based location detection module of the application.

12. A method of operating a prestaging, gesture-based, access control system, the method comprising:

using a processor system of a mobile device to execute an application;

wherein the mobile device is operable to be carried by a user and configured to communicate with a local access assembly that controls access to an access controlled item;

wherein the local assembly is adapted to operate between an access state and a no-access state, the local access assembly including a controller to effect actuation between the access state and the no-access state;

using the application to receive detection data from at least one detection system of the mobile device, the detection data comprising prestaging event information followed by primary intentional gesture information;

wherein the prestaging event information represents a prestaging event inherently performed by the user toward an intent to gain access;

wherein the primary intentional gesture information represents a primary intentional gesture specifically performed by the user toward the intent to gain access;

wherein the application includes a database of preprogrammed scenario data associated with the prestaging event and the primary intentional gesture; and

using the processor system to execute the application to determine the performance of the prestaging event from the prestaging event information, then determine the performance of the primary intentional gesture from the primary intentional gesture information if the prestaging event is determined to have occurred;

wherein the prestaging event is an inherent gesture;

wherein the inherent gesture comprises a decelerating walk by the user;

wherein the primary intentional gesture is a device-free gesture; and

wherein the device-free gesture comprises one or more of a reach for or a grabbing of the access controlled item.

13. The method set forth in claim 12 , wherein:

the at least one detection system is operable to generate the detection data based at least in part on the preprogrammed scenario data; and

the preprogrammed scenario data comprises a compound motion by the user that is dependent upon a carrying location of the mobile device on the user.

14. The method set forth in claim 12 , wherein the at least one detection system includes an inertial measurement unit (IMU) sensing system configured to measure the decelerating walk.

15. The method set forth in claim 13 , wherein:

the application includes machine learning algorithms; and

the method further comprises using the machine learning algorithms to use the compound motion to confirm the performance of the prestaging event and the performance of the primary intentional gesture.