Abstract: Systems and methods are directed to use of a neighbor list for wireless indoor navigation. The neighbor list may include related information regarding all neighboring access points (APs). The neighbor list can be transmitted, at least partially, to include the related information of a desired number of or all APs in the neighbor list from one AP to a wireless device. The neighbor list can be transmitted in a Neighbor Report Response (NRR) or a time-of-flight (ToF) Response and allow the wireless device to scan for minimal number of APs for ToF measurements. By using the neighbor list, power consumption and time can be significantly reduced during wireless indoor navigation.

Abstract: Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.

Abstract: An apparatus, a system and a method of waking up a station in a wireless local area network (WLAN) to perform time of flight (ToF) measurements. A wake-up signal for waking the station may be configured for a low energy signaling.

Abstract: Systems and methods are directed to use of a neighbor list for wireless indoor navigation. The neighbor list may include related information regarding all neighboring access points (APs). The neighbor list can be transmitted, at least partially, to include the related information of a desired number of or all APs in the neighbor list from one AP to a wireless device. The neighbor list can be transmitted in a Neighbor Report Response (NRR) or a time-of-flight (ToF) Response and allow the wireless device to scan for minimal number of APs for ToF measurements. By using the neighbor list, power consumption and time can be significantly reduced during wireless indoor navigation.

Abstract: The disclosure generally relates to an enhanced positioning system and method using a combination or hybrid filter. In one embodiment, Time-Of-Flight (ToF) measurements are used to determine an approximate location for a mobile device in relationship to one or more Access Points. The ToF combined with known and unknown variables are then processed through a hybrid filter system to determine location of the mobile device. The hybrid filter system may include a Kalman Filter (KF) for processing linear models and generally Gaussian noise distribution. The KF assumes that the state probability of mobile device location is Gaussian. Such variables include, for example, WiFi ToF bias. The hybrid filter system may include a Bayesian Filter (BF) for processing variables having non-Gaussian noise distribution and non-linear models. Such variables include, for example, the coordinates of the mobile device. A probability determination from each of the KF and BF is then applied to estimate the mobile device location.

Abstract: Systems and methods are directed to securely identifying positioning information and include a plurality of APs configured to facilitate wireless communications within a servicing area, an infrastructure entity, communicatively coupled to each of the APs, and configured to store and process subscription information, positioning information, QoS information indicative of resolution levels of the positioning information, and encryption/decryption information specific to each of a plurality of subscribing member wireless devices. As a wireless device enters the servicing area, the wireless device establishes a first level of communication with the infrastructure entity via at least one AP, and requests positioning information to the at least one AP which is then forwarded to the infrastructure entity.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a wireless communication unit to communicate Time of Flight (ToF) accuracy information corresponding to a location area. The ToF accuracy information may include at least one accuracy indicator corresponding to at least one wireless communication device. The accuracy indicator may indicate an accuracy of a ToF measurement at the location area with the wireless communication device.

Abstract: The disclosure generally relates to an enhanced positioning system and method using a combination or hybrid filter. In one embodiment, Time-Of-Flight (ToF) measurements are used to determine an approximate location for a mobile device in relationship to one or more Access Points. The ToF combined with known and unknown variables are then processed through a hybrid filter system to determine location of the mobile device. The hybrid filter system may include a Kalman Filter (KF) for processing linear models and generally Gaussian noise distribution. The KF assumes that the state probability of mobile device location is Gaussian. Such variables include, for example, WiFi ToF bias. The hybrid filter system may include a Bayesian Filter (BF) for processing variables having non-Gaussian noise distribution and non-linear models. Such variables include, for example, the coordinates of the mobile device. A probability determination from each of the KF and BF is then applied to estimate the mobile device location.

Abstract: Embodiments for performing access point position determination using crowd sourcing are generally described herein. In some embodiments, a range report request is received, by at least one mobile device, from a network entity for determining a position of a plurality of access points (APs). The at least one mobile device performs range measurements on each of the plurality of APs at different locations. A range report associated with the range measurements performed on each of the plurality of APs is sent to the network entity by the at least one mobile device.

Abstract: A method and system for time-of-flight (ToF) positioning in an IEEE 802.11 network comprises a responder station to transmit samples of preambles as the preambles are received. The samples represent channel information. The preambles comprise extension high-throughput long training fields (HT-LTFs). An initiator station is arranged to perform a time-of-arrival calculation based at least in part on an analysis of the channel information.

Abstract: A system for time-of-flight (ToF) positioning in an IEEE 802.11 network comprises an initiating station that transmits a request frame over a channel to a responding station for a ToF position measurement. The responding station may respond with an offloading of the channel information, request frame receipt time, and response frame transmit time back to the initiating station to enable the initiating station to calculate the ToF position with respect to the responding station.

Abstract: The disclosure generally relates to a method, system and apparatus for calibrating a wireless device for accurate Time-of-Flight (ToF) range determination. In one embodiment, the disclosure provides a method for calibrating a device by identifying a plurality of access points (APs) at the device; identifying a first AP of the plurality of APs, the first AP positioned immediately above the device; determining a real-time ToF value for the first AP; determining a device calibration coefficient from the real-time ToF value for first AP. The disclosed method has many advantages, including simplicity and scalability. Further, the device need not know its location, its distance between from the AP or the AP's identity.

Abstract: Embodiments of a communication station and method for transmission power control for Time-of-Flight (ToF) measurements in a wireless network are generally described herein. A protocol for fine timing measurements (FTMs) optimizes location performance rather than Wi-Fi coverage area and bit error rate by limiting an allowed maximum power and hence, EVM. A user equipment (UE) comprises a transceiver configured to receive, from an initiating station, a fine timing measurement request (FTMR) message at a maximum transmit power and lowest modulation and coding scheme (MCS), measure a relative received signal strength (RSSI) for the received FTMR message, determine a maximum transmit power, where the maximum transmit power is proportional to the measured RSSI; and transmit, to the initiating station, a fine timing measurement 1 (FTM1) message at the determined maximum transmit power and received lowest MCS.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a wireless communication unit to communicate a message between an access point and a mobile device, the message including a group identifier to indicate the access point belongs to a group of two or more access points having local coordinates measured with respect to a common origin point.

Abstract: Examples are disclosed for determining a time-of-flight (ToF) of a wireless signal in a multipath wireless environment. In some examples a method for determining a time-of-flight (ToF) of a wireless signal in a multipath wireless environment may comprise receiving two or more wireless signals over a wireless communication channel from wireless device, determining a maximum likelihood solution for identifying a line-of-sight (LoS) signal of the two or more wireless signals, reducing the complexity of the maximum likelihood solution, determining a time that maximizes the reduced complexity maximum likelihood solution, and determining the ToF of the LoS signal based on the reduced complexity maximum likelihood solution and the determined time. Other examples are described and claimed.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of estimating a location of a mobile device. For example, an apparatus may include a wireless communication unit to communicate a message between an access point and a mobile device, the message including a group identifier to indicate the access point belongs to a group of two or more access points having local coordinates measured with respect to a common origin point.

Abstract: Embodiments of a communication station and method for time-of-flight (ToF) positioning in a wireless network are generally described herein. In some embodiments, a ToF cooperation table may be received by a positioning station from an access point. The ToF cooperation table may identify one or more cooperating stations and may include information about each cooperating station for ToF positioning. A ToF positioning protocol may be performed with at least some of the cooperating stations identified in the ToF cooperation table using the information in the ToF cooperation table. During the ToF positioning protocol, a current position and a station positional accuracy may be received from each cooperating station. The current position may be a position when ToF is measured. A location of the positioning station may be determined based on the current positions and the ranges to each of the cooperating stations determined from the ToF positioning protocol.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of orientation estimation of a mobile device. For example, a mobile device may include an orientation estimator to detect a pattern in at least one image captured by the mobile device, and based on one or more geometric elements of the detected pattern, to determine one or more orientation parameters related to an orientation of the mobile device.

Abstract: Some demonstrative embodiments include apparatuses, devices, systems and methods of range estimation. For example, a mobile device may include a radio to receive from an Access Point (AP) statistical channel information of a plurality of wireless communication channels in a region covered by the AP; a channel estimator to estimate, based on the statistical channel information, a time of arrival (ToA) of a wireless communication signal from the AP via a line of sight (LOS) channel between the AP and the mobile device; and a range estimator to estimate a range between the mobile device and the AP based on the ToA.

Abstract: Mobile communication stations (STA) and a method for position estimation in a wireless network having access points (APs) are disclosed. The STA is configured to perform position estimation operations, with respect to the APs, based on a position latency parameter, a rate parameter, a power parameter, and an accuracy parameter. An upper layer of the STA may send the parameters to a position provider that generates the position estimation measurements and transmits the results back to the upper layer wherein the results include the position of the STA prior to the present time and the length of time from the present time to the time that the STA was at that particular position.