Ryan M Hunter

US Patent:

20020134896, Sep 26, 2002

Filed:

Mar 11, 2002

Appl. No.:

10/094751

Inventors:

Ryan Hunter - Gaithersburg MD, US

International Classification:

B43L015/00
B68G005/00

US Classification:

248/118000, 248/118300, 224/661000, 224/908000

Abstract:

An arm support device for steadying the wearer's weight bearing arm and transferring weight from the arm to the torso. The device is useful over a range of activities which require supporting an implement with one arm, including but not limited to videography, hunting, marksmanship, or fishing. The device comprises a shoulder strap with a cushion mounted thereon. The strap is looped over the head of the wearer and rests on the shoulder opposite the weight bearing arm. The adjustable strap crosses over the front of the wearer's body, under the weight bearing arm, and across the back of the wearer, returning to the shoulder. The strap thereby forms a continuous loop diagonally around the torso of the wearer. The cushion is slidably mounted to the strap, and in use, is positioned between the weight bearing arm and torso. In this manner, the weight is transferred from the arm inwardly to the torso and downwardly to the opposite shoulder. The support device enables the wearer to steady the implement in hand, and counters the onset of fatigue.

US Patent:

20030074308, Apr 17, 2003

Filed:

Oct 12, 2001

Appl. No.:

09/976205

Inventors:

Brian Lawton - Richmond VA, US
Michael Hild - San Francisco CA, US
Ryan Hunter - Washington DC, US

International Classification:

G06F017/60

US Classification:

705/038000, 705/034000

Abstract:

A system for optimizing collection of outstanding balances of skip accounts is provided. The system includes a predictive model associated with an account tracing entity. The model processes data of a skip account to generate an output that indicates an expected recovery amount from the skip account. An analysis program determines a course of action based on the output of the predictive model. In one embodiment, the system includes a different predictive model for each tracing entity. The predictive models are applied to the skip account data to determine the expected recovery amounts for all tracing entities. The skip account is then sent to the tracing entity associated with the highest expected recovery amount as the optimal course of action to take.