A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

A wearable device assembly has a housing supporting a controller, display and indicator system thereon. The controller has at least one sensor wherein activity of a user wearing the device is detected. The controller selectively illuminates the indicator system to indicate a level of activity of the user.

Wearable device having athletic functionality

There is provided an information processing device including a display section configured to display a first object in a virtual three-dimensional space having a depth direction of a display screen, an operation section configured to acquire an operation for moving the first object in at least the depth direction, and a controller configured to move the first object on the display screen in accordance with the acquired operation, to execute, when a region of the first object overlaps a first overlap determination region, a first process to one or both of the first and second objects, and to execute, when the region of the first object overlaps a second overlap determination region, a second process to one or both of the first and second objects. The first overlap determination region may be a region obtained by extending the second overlap determination region in at least the depth direction.

Information processing device, information processing method, and program

We measured the attenuation of signal strength for Telosclass motes between 25 °C to 65 °C, with a maximum loss of 8 dB at 65 °C. A linear model for the combined reduction of the transmit power and receiver sensitivity is presented, which suggests significant impact on the transmission range and network services. Path loss and link budget analysis indicate a communication range reduction of up to 60%. Network simulations show that the maximum range reduction severely decreases average node connectivity and disrupts multihop data collection. When the received signal strength (RSS) values are used for localization without temperature compensation, ranging error increases by up to 150%. Moreover, Cramer-Rao Bound (CRB) analysis shows that even when the RSS values are compensated, localization errors increase as a result of reduced connectivity.

Wireless Sensor Networking for "Hot" Applications: Effects of Temperature on Signal Strength, Data Collection and Localization

Sensing respiration rate has many applications in monitoring various health conditions, such as sleep apnea and chronic obstructive pulmonary disease. In this paper, we present WiBreathe, a wireless, high fidelity and non-invasive breathing monitor that leverages wireless signals at 2.4 GHz to estimate an individual's respiration rate. Our work extends past approaches of using wireless signals for respiratory monitoring by using only a single transmitter-receiver pair at the same frequency range of commodity Wi-Fi signals to estimate the respiratory rate of an individual. This is done irrespective of whether they are in line of sight or not (e.g., through walls). Furthermore, we demonstrate the capability of WiBreathe in detecting multiple people and by extension, their respiration rates. We evaluate our approach in various natural environments and show that we can track breathing with the accuracy of 1.54 breaths per minute when compared to a clinical respiratory chest band.

WiBreathe: Estimating respiration rate using wireless signals in natural settings in the home

Provided is a sensor node including: a sensor for measuring biological information; a CPU for acquiring data by driving the sensor; a wireless communication unit for transmitting the data acquired by the CPU; a battery for supplying the control unit, the wireless communication unit, and the sensor with electric power; a RAM for storing the data; a compression unit for compressing the data stored in the RAM when the wireless communication unit cannot carry out the transmission; and a flash memory for storing the compressed data, thereby storing as much sensing data as possible on the sensor node, which is limited in resources, and preventing loss of the sensing data.

Sensor node and sensor network system

An ultra-small, low-power sensor-net module called ZN1 is developed. ZN1 integrates MCU, ZigBee RF into an ultra-small 15 -- 15-mm module with an ultra-low standby current less than 1 μA. The and highly reliable operation for more than 15 years of the ZN1 enable low-cost practical application-specific sensor nodes for HVAC, structure monitoring, office management, security, medicine, and healthcare. We describe architecture and technologies for developing the ZN1 module. Moreover, we demonstrate two applications that we developed simultaneously: food sanitation and home healthcare. We also show results of the ZN1 module evaluation and discuss reliability of the ZN1.

A 15 -- 15 mm, 1 μA, reliable sensor-net module: enabling application-specific nodes

An ultra-small, low-power sensor-net module called ZN1 is developed. ZN1 integrates MCU, ZigBee RF into an ultra-small 15/spl times/15-mm module with an ultra-low standby current less than 1 /spl mu/A. The and highly reliable operation for more than 15 years of the ZN1 enable low-cost practical application-specific sensor nodes for HVAC, structure monitoring, office management, security, medicine, and healthcare. We describe architecture and technologies for developing the ZN1 module. Moreover, we demonstrate two applications that we developed simultaneously: food sanitation and home healthcare. We also show results of the ZN1 module evaluation and discuss reliability of the ZN1.

A 15/spl times/15 mm, 1 /spl mu/A, reliable sensor-net module: enabling application-specific nodes

A continuous daily-activity recording system called ldquolife microscoperdquo is developed. Acceleration waveform data is acquired without any data loss for a week with a 150-mAh battery. This is made possible by two novel techniques: ldquocool senserdquo and ldquosafe packetrdquo. Cool sense reduces power by 98% during continuous sensing at frequencies such as 20 Hz by using a millisecond time-scale sleep. Safe packet ensures lossless data acquisition with low-cost storage and efficient data compression in wireless environments with interference. In our experiment using the life microscope system, we recorded lossless activity data of 20 participants for more than 4 months.

Life Microscope: Continuous daily-activity recording system with tiny wireless sensor

A terminal includes a sensor for detecting a physical quantity and a data transmitting unit for transmitting data representing the physical quantity to a processing device. An input/output device includes an input unit for receiving an input of data representing a productivity relating to the person wearing the terminal and a data transmitting unit for transmitting the data representing the productivity to the processing device. The processing device includes a feature value extracting unit for extracting a feature value from the data representing the physical quantity, a conflict calculating unit for determining items of data bringing about conflict from the data representing the productivity, and a coefficient-of-influence calculating unit for calculating a degree of the correlation between the feature value and the items of the data bringing about conflict.

Takeshi Tanaka

Papers

Sensor node and sensor network system

A 15 -- 15 mm, 1 μA, reliable sensor-net module: enabling application-specific nodes

A 15/spl times/15 mm, 1 /spl mu/A, reliable sensor-net module: enabling application-specific nodes

Life Microscope: Continuous daily-activity recording system with tiny wireless sensor

Information processing system and information processing device