Abstract: A signal encoding an infrared (IR) image including a plurality of IR pixels is received from an IR camera. Each IR pixel specifies one or more IR parameters of that IR pixel. IR-skin pixels that image a human hand are identified in the IR image. For each IR-skin pixel, a depth of a human hand portion imaged by that IR-skin pixel is estimated based on the IR parameters of that IR-skin pixel. A skeletal hand model including a plurality of hand joints is derived. Each hand joint is defined with three independent position coordinates inferred from the estimated depths of each human hand portion.

Abstract: A signal encoding an infrared (IR) image including a plurality of IR pixels is received from an IR camera. Each IR pixel specifies one or more IR parameters of that IR pixel. IR-skin pixels that image a human hand are identified in the IR image. For each IR-skin pixel, a depth of a human hand portion imaged by that IR-skin pixel is estimated based on the IR parameters of that IR-skin pixel. A skeletal hand model including a plurality of hand joints is derived. Each hand joint is defined with three independent position coordinates inferred from the estimated depths of each human hand portion.

Abstract: Systems and methods of the present invention provide for detecting and mitigating abuse of undeliverable email or “bounced” emails. An administrator may import a list of email addresses for one or more contacts. The opt-in software may determine if each email address in the list of email addresses is opted in to receive an email distribution, and if so, a bounce detection software may determine if each email address is found in a database of known undeliverable or “bounced” email addresses. If so, an abuse-mitigation software may defer importing the list of email addresses and display an alert referring the administrator to an abuse department for review of the account.

Abstract: Systems and methods of the present invention provide for detecting and mitigating abuse of undeliverable email or “bounced” emails. An administrator may import a list of email addresses for one or more contacts. The opt-in software may determine if each email address in the list of email addresses is opted in to receive an email distribution, and if so, a bounce detection software may determine if each email address is found in a database of known undeliverable or “bounced” email addresses. If so, an abuse-mitigation software may defer importing the list of email addresses and display an alert referring the administrator to an abuse department for review of the account.

Abstract: Systems and methods of the present invention provide for detecting and mitigating abuse of unsolicited email or “spam.” An administrator may select one or more contacts from a list of contacts to opt in to receive an email distribution. An abuse detection software may then determine for each contact in the contact list whether the contact has read the email distribution and reported the email distribution as an unsolicited email message. If so, an abuse department may place a hold on the email distribution (possibly using abuse mitigation software) and display an alert referring the administrator to the abuse department for review of the account. Otherwise, the email distribution may continue to completion.