2 [smart]
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Бред чистой воды. Ни кто до сих пор не узнал каков обьём памяти мозга человека. Да и в каком виде хранится информация это тоже вопрос. Я сомневаюсь что 1 Тб хватит, чтобы записать всю жизнь. Если только в текстовом виде, тогда реально!
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я думаю они имели ввиду, что к концу сознательной человеческой жизни
- в мозгу человека накапливается памяти
Цитата:
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от сотен мегабайт до нескольких гигабайт
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, т.е. это тот объем памяти который он запомнил на всю жизнь
я думаю вполне реально подсчитать - зная с чем человек по ходу жизни сталкивается
2 All
в принципе память в один терабайт не имеет, таково уж, значения - сегодня один, завтра три, послезавтра 49
мне было бы интересно впомнить детсво, допустим я не помню что ьыло в три года, а тут раз и посмотрел/послушал
ну вообщем это все IMHO, так что dont kick
кому интересно
read more lower
from primary source
я не стал переводить, по понятным всем причинам,
тот кто хотя бы немного знает английский - поймет
там все доступно
SenseCam – Personal Image & Data Recall
SenseCam Prototype V1 Dec 2003
SenseCam is a badge-sized wearable camera that captures up to 2000 VGA images per day into 128Mbyte FLASH memory. In addition, sensor data such as movement, light level and temperature is recorded every second. This is similar to an aircraft “Black Box” accident recorder but miniaturised for the human body. It could help with memory recall, e.g. where did I leave my spectacles or keys? who did I meet last week? by doing a “rewind” of the days events. If a person has an accident, the events and images leading up to this will be recorded, and these could be useful to medical staff. It could also be used for automatic diary generation.
Sensors trigger a new recording. For example, each time the person walks into a new room, this light change transition is detected and the room image is captured with an ultra wide angle or fish-eye lens. Other triggers include, time, sudden movement, or a person nearby. A hand gesture can also manually capture an image. An accelerometer is used for image stabilisation to reduce blurred images caused by camera motion. This is an essential feature of any truly wearable camera.
The sensor data (motion, light, temperature, and near infrared images) is recorded for later correlation with other user data, for example in the MyLifeBits system. MyLifeBits will allow the large number of images generated daily to be easily searched and accessed. Future SenseCams will also capture audio and possibly heart rate or other physiological data.
The SenseCam is an experimental working prototype and not a product. We have no spare prototypes at present.
(big)image of SenseCam/MyLifeBits Viewer
Image of SenseCam/MyLifeBits Viewer
The yellow trace is light level, the red trace is tilt angle and the green markers are passive infrared (PIR) signals triggered by a person (or other living being) passing in front of the camera. The user can select all or part of the data and then scan backwards and forwards through the images in rapid succession at speeds up to 25 frames per second. Such RSVP (Rapid Serial Visual Presentation) techniques are well-studied in the psychological literature and are particularly suited to SenseCam images.
Example of fish-eye lens view of Microsoft Research Cambridge
The SenseCam can also capture handwritten notes and sketches and transfer the image to PC.
Example of hand written notes captured by SenseCam, VGA resolution
Unedited picture from prototype SenseCam (Feb 2004) of Microsoft Research Cambridge. The green grass (left) is white and sky is almost black, due to the use of near infrared lens to capture more than the eye can see. The bent lamp post is due to ultra wide angle lens.
nside of SenseCam Prototype showing ADXL202 accelerometer/tilt sensor , PIC microcontroller, Infrared sensor. The AA cells and camera not shown.
Want more??
not a question
Regards