2 * Copyright (C) 2014 Intel Corporation.
8 #include <cutils/properties.h>
9 #include <hardware/sensors.h>
10 #include "calibration.h"
12 #include "description.h"
13 #include "transform.h"
15 #include "filtering.h"
17 /*----------------------------------------------------------------------------*/
19 /* Macros related to Intel Sensor Hub */
21 #define GRAVITY 9.80665f
25 #define NUMOFACCDATA (8.0f)
27 /* conversion of acceleration data to SI units (m/s^2) */
28 #define CONVERT_A (GRAVITY_EARTH / LSG / NUMOFACCDATA)
29 #define CONVERT_A_X(x) ((float(x)/1000) * (GRAVITY * -1.0))
30 #define CONVERT_A_Y(x) ((float(x)/1000) * (GRAVITY * 1.0))
31 #define CONVERT_A_Z(x) ((float(x)/1000) * (GRAVITY * 1.0))
33 /* conversion of magnetic data to uT units */
34 #define CONVERT_M (1.0f/6.6f)
35 #define CONVERT_M_X (-CONVERT_M)
36 #define CONVERT_M_Y (-CONVERT_M)
37 #define CONVERT_M_Z (CONVERT_M)
39 #define CONVERT_GAUSS_TO_MICROTESLA(x) ( (x) * 100 )
41 /* conversion of orientation data to degree units */
42 #define CONVERT_O (1.0f/64.0f)
43 #define CONVERT_O_A (CONVERT_O)
44 #define CONVERT_O_P (CONVERT_O)
45 #define CONVERT_O_R (-CONVERT_O)
47 /*conversion of gyro data to SI units (radian/sec) */
48 #define CONVERT_GYRO ((2000.0f/32767.0f)*((float)M_PI / 180.0f))
49 #define CONVERT_GYRO_X (-CONVERT_GYRO)
50 #define CONVERT_GYRO_Y (-CONVERT_GYRO)
51 #define CONVERT_GYRO_Z (CONVERT_GYRO)
53 #define BIT(x) (1 << (x))
55 inline unsigned int set_bit_range(int start, int end)
58 unsigned int value = 0;
60 for (i = start; i < end; ++i)
65 inline float convert_from_vtf_format(int size, int exponent, unsigned int value)
72 value = value & set_bit_range(0, size*8);
73 if (value & BIT(size*8-1)) {
74 value = ((1LL << (size*8)) - value);
79 exponent = abs(exponent);
80 for (i = 0; i < exponent; ++i) {
83 return mul * sample/divider;
85 return mul * sample * pow(10.0, exponent);
89 // Platform sensor orientation
90 #define DEF_ORIENT_ACCEL_X -1
91 #define DEF_ORIENT_ACCEL_Y -1
92 #define DEF_ORIENT_ACCEL_Z -1
94 #define DEF_ORIENT_GYRO_X 1
95 #define DEF_ORIENT_GYRO_Y 1
96 #define DEF_ORIENT_GYRO_Z 1
99 #define CONVERT_FROM_VTF16(s,d,x) (convert_from_vtf_format(s,d,x))
100 #define CONVERT_A_G_VTF16E14_X(s,d,x) (DEF_ORIENT_ACCEL_X *\
101 convert_from_vtf_format(s,d,x)*GRAVITY)
102 #define CONVERT_A_G_VTF16E14_Y(s,d,x) (DEF_ORIENT_ACCEL_Y *\
103 convert_from_vtf_format(s,d,x)*GRAVITY)
104 #define CONVERT_A_G_VTF16E14_Z(s,d,x) (DEF_ORIENT_ACCEL_Z *\
105 convert_from_vtf_format(s,d,x)*GRAVITY)
107 // Degree/sec to radian/sec
108 #define CONVERT_G_D_VTF16E14_X(s,d,x) (DEF_ORIENT_GYRO_X *\
109 convert_from_vtf_format(s,d,x) * \
110 ((float)M_PI/180.0f))
111 #define CONVERT_G_D_VTF16E14_Y(s,d,x) (DEF_ORIENT_GYRO_Y *\
112 convert_from_vtf_format(s,d,x) * \
113 ((float)M_PI/180.0f))
114 #define CONVERT_G_D_VTF16E14_Z(s,d,x) (DEF_ORIENT_GYRO_Z *\
115 convert_from_vtf_format(s,d,x) * \
116 ((float)M_PI/180.0f))
118 // Milli gauss to micro tesla
119 #define CONVERT_M_MG_VTF16E14_X(s,d,x) (convert_from_vtf_format(s,d,x)/10)
120 #define CONVERT_M_MG_VTF16E14_Y(s,d,x) (convert_from_vtf_format(s,d,x)/10)
121 #define CONVERT_M_MG_VTF16E14_Z(s,d,x) (convert_from_vtf_format(s,d,x)/10)
124 /*----------------------------------------------------------------------------*/
126 static int64_t sample_as_int64(unsigned char* sample, struct datum_info_t* type)
130 int zeroed_bits = type->storagebits - type->realbits;
136 if (type->endianness == 'b')
137 for (i=0; i<type->storagebits/8; i++)
138 u64 = (u64 << 8) | sample[i];
140 for (i=type->storagebits/8 - 1; i>=0; i--)
141 u64 = (u64 << 8) | sample[i];
143 u64 = (u64 >> type->shift) & (~0ULL >> zeroed_bits);
145 if (type->sign == 'u')
146 return (int64_t) u64; /* We don't handle unsigned 64 bits int */
150 switch (type->realbits) {
155 return (int64_t) (int8_t) u64;
158 return (int64_t) (int16_t) u64;
161 return (int64_t) (int32_t) u64;
164 return (int64_t) u64;
167 sign_mask = 1 << (type->realbits-1);
168 value_mask = sign_mask - 1;
171 /* Negative value: return 2-complement */
172 return - ((~u64 & value_mask) + 1);
174 return (int64_t) u64; /* Positive value */
179 static void reorder_fields(float* data, unsigned char map[MAX_CHANNELS])
182 float temp[MAX_CHANNELS];
184 for (i=0; i<MAX_CHANNELS; i++)
185 temp[i] = data[map[i]];
187 for (i=0; i<MAX_CHANNELS; i++)
192 static void denoise (struct sensor_info_t* si, struct sensors_event_t* data,
193 int num_fields, int max_samples)
196 * Smooth out incoming data using a moving average over a number of
197 * samples. We accumulate one second worth of samples, or max_samples,
198 * depending on which is lower.
203 int sampling_rate = (int) si->sampling_rate;
205 int history_full = 0;
207 /* Don't denoise anything if we have less than two samples per second */
208 if (sampling_rate < 2)
211 /* Restrict window size to the min of sampling_rate and max_samples */
212 if (sampling_rate > max_samples)
213 history_size = max_samples;
215 history_size = sampling_rate;
217 /* Reset history if we're operating on an incorrect window size */
218 if (si->history_size != history_size) {
219 si->history_size = history_size;
220 si->history_entries = 0;
221 si->history_index = 0;
222 si->history = (float*) realloc(si->history,
223 si->history_size * num_fields * sizeof(float));
225 si->history_sum = (float*) realloc(si->history_sum,
226 num_fields * sizeof(float));
228 memset(si->history_sum, 0, num_fields * sizeof(float));
232 if (!si->history || !si->history_sum)
233 return; /* Unlikely, but still... */
235 /* Update initialized samples count */
236 if (si->history_entries < si->history_size)
237 si->history_entries++;
241 /* Record new sample and calculate the moving sum */
242 for (f=0; f < num_fields; f++) {
244 * A field is going to be overwritten if
245 * history is full, so decrease the history sum
248 si->history_sum[f] -=
249 si->history[si->history_index * num_fields + f];
251 si->history[si->history_index * num_fields + f] = data->data[f];
252 si->history_sum[f] += data->data[f];
254 /* For now simply compute a mobile mean for each field */
255 /* and output filtered data */
256 data->data[f] = si->history_sum[f] / si->history_entries;
259 /* Update our rolling index (next evicted cell) */
260 si->history_index = (si->history_index + 1) % si->history_size;
264 static void clamp_gyro_readings_to_zero (int s, struct sensors_event_t* data)
269 switch (sensor_info[s].type) {
270 case SENSOR_TYPE_GYROSCOPE:
276 case SENSOR_TYPE_GYROSCOPE_UNCALIBRATED:
277 x = data->data[0] - data->uncalibrated_gyro.bias[0];
278 y = data->data[1] - data->uncalibrated_gyro.bias[1];
279 z = data->data[2] - data->uncalibrated_gyro.bias[2];
286 /* If we're calibrated, don't filter out as much */
287 if (sensor_info[s].cal_level > 0)
288 near_zero = 0.02; /* rad/s */
292 /* If motion on all axes is small enough */
293 if (fabs(x) < near_zero && fabs(y) < near_zero && fabs(z) < near_zero) {
296 * Report that we're not moving at all... but not exactly zero
297 * as composite sensors (orientation, rotation vector) don't
298 * seem to react very well to it.
300 switch (sensor_info[s].type) {
301 case SENSOR_TYPE_GYROSCOPE:
302 data->data[0] *= 0.000001;
303 data->data[1] *= 0.000001;
304 data->data[2] *= 0.000001;
307 case SENSOR_TYPE_GYROSCOPE_UNCALIBRATED:
308 data->data[0]= data->uncalibrated_gyro.bias[0]
310 data->data[1]= data->uncalibrated_gyro.bias[1]
312 data->data[2]= data->uncalibrated_gyro.bias[2]
320 static int finalize_sample_default (int s, struct sensors_event_t* data)
322 /* Swap fields if we have a custom channel ordering on this sensor */
323 if (sensor_info[s].quirks & QUIRK_FIELD_ORDERING)
324 reorder_fields(data->data, sensor_info[s].order);
326 sensor_info[s].event_count++;
327 switch (sensor_info[s].type) {
328 case SENSOR_TYPE_ACCELEROMETER:
329 /* Always consider the accelerometer accurate */
330 data->acceleration.status = SENSOR_STATUS_ACCURACY_HIGH;
331 if (sensor_info[s].quirks & QUIRK_NOISY)
332 denoise(&sensor_info[s], data, 3, 20);
335 case SENSOR_TYPE_MAGNETIC_FIELD:
336 calibrate_compass (data, &sensor_info[s], get_timestamp());
337 if (sensor_info[s].quirks & QUIRK_NOISY)
338 denoise(&sensor_info[s], data, 3, 30);
341 case SENSOR_TYPE_GYROSCOPE:
344 * Report medium accuracy by default ; higher accuracy
345 * levels will be reported once, and if, we achieve
348 data->gyro.status = SENSOR_STATUS_ACCURACY_MEDIUM;
350 /* ... fall through */
352 case SENSOR_TYPE_GYROSCOPE_UNCALIBRATED:
355 * We're only trying to calibrate data from continuously
356 * firing gyroscope drivers, as motion based ones use
357 * movement thresholds that may lead us to incorrectly
360 if (sensor_info[s].selected_trigger !=
361 sensor_info[s].motion_trigger_name)
362 calibrate_gyro(data, &sensor_info[s]);
364 /* For noisy sensors we'll drop a very few number
365 * of samples to make sure we have at least MIN_SAMPLES events
366 * in the filtering queue. This is to make sure we are not sending
367 * events that can disturb our mean or stddev.
369 if (sensor_info[s].quirks & QUIRK_NOISY) {
370 denoise_median(&sensor_info[s], data, 3);
371 if((sensor_info[s].selected_trigger !=
372 sensor_info[s].motion_trigger_name) &&
373 sensor_info[s].event_count < MIN_SAMPLES)
377 /* Clamp near zero moves to (0,0,0) if appropriate */
378 clamp_gyro_readings_to_zero(s, data);
381 case SENSOR_TYPE_LIGHT:
382 case SENSOR_TYPE_AMBIENT_TEMPERATURE:
383 case SENSOR_TYPE_TEMPERATURE:
384 /* Only keep two decimals for these readings */
385 data->data[0] = 0.01 * ((int) (data->data[0] * 100));
387 /* ... fall through ... */
389 case SENSOR_TYPE_PROXIMITY:
391 * These are on change sensors ; drop the sample if it
392 * has the same value as the previously reported one.
394 if (data->data[0] == sensor_info[s].prev_val)
397 sensor_info[s].prev_val = data->data[0];
401 /* Add this event to our global records, for filtering purposes */
402 record_sample(s, data);
404 return 1; /* Return sample to Android */
408 static float transform_sample_default(int s, int c, unsigned char* sample_data)
410 struct datum_info_t* sample_type = &sensor_info[s].channel[c].type_info;
411 int64_t s64 = sample_as_int64(sample_data, sample_type);
412 float scale = sensor_info[s].scale ?
413 sensor_info[s].scale : sensor_info[s].channel[c].scale;
415 /* In case correction has been requested using properties, apply it */
416 scale *= sensor_info[s].channel[c].opt_scale;
418 /* Apply default scaling rules */
419 return (sensor_info[s].offset + s64) * scale;
423 static int finalize_sample_ISH (int s, struct sensors_event_t* data)
425 float pitch, roll, yaw;
427 /* Swap fields if we have a custom channel ordering on this sensor */
428 if (sensor_info[s].quirks & QUIRK_FIELD_ORDERING)
429 reorder_fields(data->data, sensor_info[s].order);
431 if (sensor_info[s].type == SENSOR_TYPE_ORIENTATION) {
433 pitch = data->data[0];
434 roll = data->data[1];
437 data->data[0] = 360.0 - yaw;
438 data->data[1] = -pitch;
439 data->data[2] = -roll;
442 /* Add this event to our global records, for filtering purposes */
443 record_sample(s, data);
445 return 1; /* Return sample to Android */
449 static float transform_sample_ISH (int s, int c, unsigned char* sample_data)
451 struct datum_info_t* sample_type = &sensor_info[s].channel[c].type_info;
452 int val = (int) sample_as_int64(sample_data, sample_type);
454 int data_bytes = (sample_type->realbits)/8;
455 int exponent = sensor_info[s].offset;
457 /* In case correction has been requested using properties, apply it */
458 correction = sensor_info[s].channel[c].opt_scale;
460 switch (sensor_info[s].type) {
461 case SENSOR_TYPE_ACCELEROMETER:
465 CONVERT_A_G_VTF16E14_X(
466 data_bytes, exponent, val);
470 CONVERT_A_G_VTF16E14_Y(
471 data_bytes, exponent, val);
475 CONVERT_A_G_VTF16E14_Z(
476 data_bytes, exponent, val);
481 case SENSOR_TYPE_GYROSCOPE:
485 CONVERT_G_D_VTF16E14_X(
486 data_bytes, exponent, val);
490 CONVERT_G_D_VTF16E14_Y(
491 data_bytes, exponent, val);
495 CONVERT_G_D_VTF16E14_Z(
496 data_bytes, exponent, val);
500 case SENSOR_TYPE_MAGNETIC_FIELD:
504 CONVERT_M_MG_VTF16E14_X(
505 data_bytes, exponent, val);
509 CONVERT_M_MG_VTF16E14_Y(
510 data_bytes, exponent, val);
514 CONVERT_M_MG_VTF16E14_Z(
515 data_bytes, exponent, val);
519 case SENSOR_TYPE_LIGHT:
522 case SENSOR_TYPE_ORIENTATION:
523 return correction * convert_from_vtf_format(
524 data_bytes, exponent, val);
526 case SENSOR_TYPE_ROTATION_VECTOR:
527 return correction * convert_from_vtf_format(
528 data_bytes, exponent, val);
535 void select_transform (int s)
537 char prop_name[PROP_NAME_MAX];
538 char prop_val[PROP_VALUE_MAX];
539 int i = sensor_info[s].catalog_index;
540 const char *prefix = sensor_catalog[i].tag;
542 sprintf(prop_name, PROP_BASE, prefix, "transform");
544 if (property_get(prop_name, prop_val, "")) {
545 if (!strcmp(prop_val, "ISH")) {
546 ALOGI( "Using Intel Sensor Hub semantics on %s\n",
547 sensor_info[s].friendly_name);
549 sensor_info[s].ops.transform = transform_sample_ISH;
550 sensor_info[s].ops.finalize = finalize_sample_ISH;
555 sensor_info[s].ops.transform = transform_sample_default;
556 sensor_info[s].ops.finalize = finalize_sample_default;
560 float acquire_immediate_value(int s, int c)
562 char sysfs_path[PATH_MAX];
565 int dev_num = sensor_info[s].dev_num;
566 int i = sensor_info[s].catalog_index;
567 const char* raw_path = sensor_catalog[i].channel[c].raw_path;
568 const char* input_path = sensor_catalog[i].channel[c].input_path;
569 float scale = sensor_info[s].scale ?
570 sensor_info[s].scale : sensor_info[s].channel[c].scale;
571 float offset = sensor_info[s].offset;
572 int sensor_type = sensor_catalog[i].type;
575 /* In case correction has been requested using properties, apply it */
576 correction = sensor_info[s].channel[c].opt_scale;
578 /* Acquire a sample value for sensor s / channel c through sysfs */
581 sprintf(sysfs_path, BASE_PATH "%s", dev_num, input_path);
582 ret = sysfs_read_float(sysfs_path, &val);
585 return val * correction;
592 sprintf(sysfs_path, BASE_PATH "%s", dev_num, raw_path);
593 ret = sysfs_read_float(sysfs_path, &val);
599 There is no transform ops defined yet for Raw sysfs values
600 Use this function to perform transformation as well.
602 if (sensor_type == SENSOR_TYPE_MAGNETIC_FIELD)
603 return CONVERT_GAUSS_TO_MICROTESLA ((val + offset) * scale) *
606 return (val + offset) * scale * correction;